This document summarizes a research paper that proposes using delay tolerant network (DTN) approaches for data dissemination in fog computing networks. It describes a hybrid data dissemination framework with a two-plane architecture: 1) the cloud serves as a control plane to process content updates and organize data flows, and 2) geometrically distributed fog servers form a data plane to disseminate data among themselves using DTN techniques. This allows non-urgent, high-volume content to be distributed across fog servers in an efficient manner without relying on expensive bandwidth between the fog and cloud layers.
Implementing K-Out-Of-N Computing For Fault Tolerant Processing In Mobile and...IJERA Editor
Despite the advances in hardware for hand-held mobile devices, resource-intensive applications (e.g., video and imagestorage and processing or map-reduce type) still remain off bounds since they require large computation and storage capabilities.Recent research has attempted to address these issues by employing remote servers, such as clouds and peer mobile devices.For mobile devices deployed in dynamic networks (i.e., with frequent topology changes because of node failure/unavailability andmobility as in a mobile cloud), however, challenges of reliability and energy efficiency remain largely unaddressed. To the best of ourknowledge, we are the first to address these challenges in an integrated manner for both data storage and processing in mobilecloud, an approach we call k-out-of-n computing. In our solution, mobile devices successfully retrieve or process data, in the mostenergy-efficient way, as long as k out of n remote servers are accessible. Through a real system implementation we prove the feasibilityof our approach. Extensive simulations demonstrate the fault tolerance and energy efficiency performance of our framework in largerscale networks.
A Comparison of Cloud Execution Mechanisms Fog, Edge, and Clone Cloud Computing IJECEIAES
Cloud computing is a technology that was developed a decade ago to provide uninterrupted, scalable services to users and organizations. Cloud computing has also become an attractive feature for mobile users due to the limited features of mobile devices. The combination of cloud technologies with mobile technologies resulted in a new area of computing called mobile cloud computing. This combined technology is used to augment the resources existing in Smart devices. In recent times, Fog computing, Edge computing, and Clone Cloud computing techniques have become the latest trends after mobile cloud computing, which have all been developed to address the limitations in cloud computing. This paper reviews these recent technologies in detail and provides a comparative study of them. It also addresses the differences in these technologies and how each of them is effective for organizations and developers.
Fog Computing and Its Role in the Internet of ThingsHarshitParkar6677
This document discusses fog computing and its role in supporting Internet of Things applications. It defines fog computing as extending cloud computing to the edge of the network to enable applications requiring low latency, mobility support, and location awareness. Key characteristics of fog include its geographical distribution, support for real-time interactions, and role in wireless networks. The document argues fog is well-suited as a platform for critical IoT applications and services in areas like connected vehicles, smart grids, and wireless sensor networks due to these characteristics. It also describes the interplay between fog and cloud platforms for data analytics with fog handling real-time processing near data sources and cloud providing long-term global analytics.
Fog computing or fog networking, also known as fogging, is an architecture that uses edge devices to carry out a substantial amount of computation, storage, and communication locally and routed over the internet backbone.
Fog Computing: Issues, Challenges and Future Directions IJECEIAES
In Cloud Computing, all the processing of the data collected by the node is done in the central server. This involves a lot of time as data has to be transferred from the node to central server before the processing of data can be done in the server. Also it is not practical to stream terabytes of data from the node to the cloud and back. To overcome these disadvantages, an extension of cloud computing, known as fog computing, is introduced. In this, the processing of data is done completely in the node if the data does not require higher computing power and is done partially if the data requires high computing power, after which the data is transferred to the central server for the remaining computations. This greatly reduces the time involved in the process and is more efficient as the central server is not overloaded. Fog is quite useful in geographically dispersed areas where connectivity can be irregular. The ideal use case requires intelligence near the edge where ultralow latency is critical, and is promised by fog computing. The concepts of cloud computing and fog computing will be explored and their features will be contrasted to understand which is more efficient and better suited for realtime application.
Bandwidth Management on Cloud Computing Networkiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Cloud computing pros and cons for computer forensic investigationspoojagupta010
This document discusses the pros and cons of cloud computing for computer forensic investigations. It begins with an introduction to cloud computing and its key characteristics and models. It then provides background on computer forensics, including digital evidence and forensic procedures. The document goes on to discuss virtualization and how it relates to cloud computing. Finally, it merges these topics and outlines the main challenges of applying forensic procedures in cloud environments, concluding that while backups may provide useful evidence, seizing data can be difficult due to data mobility and copies across servers.
IRJET- Advantages of Mobile Cloud ComputingIRJET Journal
Mobile cloud computing combines the capabilities of mobile computing and cloud computing. It allows data storage and processing to occur outside of mobile devices in the cloud. This provides advantages like reduced power consumption and memory/storage constraints for mobile devices. Mobile cloud computing applications include mobile commerce, banking, healthcare, gaming and more. By offloading processing and data to the cloud, these applications can have faster performance and better scalability compared to running solely on mobile devices.
Implementing K-Out-Of-N Computing For Fault Tolerant Processing In Mobile and...IJERA Editor
Despite the advances in hardware for hand-held mobile devices, resource-intensive applications (e.g., video and imagestorage and processing or map-reduce type) still remain off bounds since they require large computation and storage capabilities.Recent research has attempted to address these issues by employing remote servers, such as clouds and peer mobile devices.For mobile devices deployed in dynamic networks (i.e., with frequent topology changes because of node failure/unavailability andmobility as in a mobile cloud), however, challenges of reliability and energy efficiency remain largely unaddressed. To the best of ourknowledge, we are the first to address these challenges in an integrated manner for both data storage and processing in mobilecloud, an approach we call k-out-of-n computing. In our solution, mobile devices successfully retrieve or process data, in the mostenergy-efficient way, as long as k out of n remote servers are accessible. Through a real system implementation we prove the feasibilityof our approach. Extensive simulations demonstrate the fault tolerance and energy efficiency performance of our framework in largerscale networks.
A Comparison of Cloud Execution Mechanisms Fog, Edge, and Clone Cloud Computing IJECEIAES
Cloud computing is a technology that was developed a decade ago to provide uninterrupted, scalable services to users and organizations. Cloud computing has also become an attractive feature for mobile users due to the limited features of mobile devices. The combination of cloud technologies with mobile technologies resulted in a new area of computing called mobile cloud computing. This combined technology is used to augment the resources existing in Smart devices. In recent times, Fog computing, Edge computing, and Clone Cloud computing techniques have become the latest trends after mobile cloud computing, which have all been developed to address the limitations in cloud computing. This paper reviews these recent technologies in detail and provides a comparative study of them. It also addresses the differences in these technologies and how each of them is effective for organizations and developers.
Fog Computing and Its Role in the Internet of ThingsHarshitParkar6677
This document discusses fog computing and its role in supporting Internet of Things applications. It defines fog computing as extending cloud computing to the edge of the network to enable applications requiring low latency, mobility support, and location awareness. Key characteristics of fog include its geographical distribution, support for real-time interactions, and role in wireless networks. The document argues fog is well-suited as a platform for critical IoT applications and services in areas like connected vehicles, smart grids, and wireless sensor networks due to these characteristics. It also describes the interplay between fog and cloud platforms for data analytics with fog handling real-time processing near data sources and cloud providing long-term global analytics.
Fog computing or fog networking, also known as fogging, is an architecture that uses edge devices to carry out a substantial amount of computation, storage, and communication locally and routed over the internet backbone.
Fog Computing: Issues, Challenges and Future Directions IJECEIAES
In Cloud Computing, all the processing of the data collected by the node is done in the central server. This involves a lot of time as data has to be transferred from the node to central server before the processing of data can be done in the server. Also it is not practical to stream terabytes of data from the node to the cloud and back. To overcome these disadvantages, an extension of cloud computing, known as fog computing, is introduced. In this, the processing of data is done completely in the node if the data does not require higher computing power and is done partially if the data requires high computing power, after which the data is transferred to the central server for the remaining computations. This greatly reduces the time involved in the process and is more efficient as the central server is not overloaded. Fog is quite useful in geographically dispersed areas where connectivity can be irregular. The ideal use case requires intelligence near the edge where ultralow latency is critical, and is promised by fog computing. The concepts of cloud computing and fog computing will be explored and their features will be contrasted to understand which is more efficient and better suited for realtime application.
Bandwidth Management on Cloud Computing Networkiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Cloud computing pros and cons for computer forensic investigationspoojagupta010
This document discusses the pros and cons of cloud computing for computer forensic investigations. It begins with an introduction to cloud computing and its key characteristics and models. It then provides background on computer forensics, including digital evidence and forensic procedures. The document goes on to discuss virtualization and how it relates to cloud computing. Finally, it merges these topics and outlines the main challenges of applying forensic procedures in cloud environments, concluding that while backups may provide useful evidence, seizing data can be difficult due to data mobility and copies across servers.
IRJET- Advantages of Mobile Cloud ComputingIRJET Journal
Mobile cloud computing combines the capabilities of mobile computing and cloud computing. It allows data storage and processing to occur outside of mobile devices in the cloud. This provides advantages like reduced power consumption and memory/storage constraints for mobile devices. Mobile cloud computing applications include mobile commerce, banking, healthcare, gaming and more. By offloading processing and data to the cloud, these applications can have faster performance and better scalability compared to running solely on mobile devices.
HYBRID OPTICAL AND ELECTRICAL NETWORK FLOWS SCHEDULING IN CLOUD DATA CENTRESijcsit
This document summarizes a research paper on scheduling flows in hybrid optical and electrical networks for cloud data centers. The paper proposes a strategy for selecting which flows are suitable to switch from the electrical packet network to the optical circuit network. It presents techniques for detecting bottlenecks in the packet network and selecting flows to offload. Simulation results showed improved network performance from this flow selection approach, including higher average throughput, lower configuration delay, and more stable offloaded flows.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
The document proposes a Wireless Network Cloud (WNC) architecture that uses cloud computing technology to virtualize base stations. The WNC allows wireless access networks to operate in a cloud mode by separating hardware and software and providing resources in a centralized manner. It analyzes challenges like computational requirements for virtual base stations. Mobile cloud computing is also discussed, which moves computing and storage away from mobile devices into powerful cloud platforms accessed over wireless connections using thin clients. This approach extends battery life and improves data storage and processing capabilities for mobile users.
www.iosrjournals.org 57 | Page Latest development of cloud computing technolo...Sushil kumar Choudhary
This document discusses the latest developments in cloud computing technology. It begins with definitions of cloud computing and describes its evolution over time from mainframes to current cloud models. The key characteristics of cloud computing are described, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Challenges of cloud computing are also outlined. The document then examines the different deployment models including private clouds, public clouds, hybrid clouds, and community clouds. It also explores the various cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud computing providers like Amazon, Google, and Microsoft are mentioned
This document discusses the core concepts of cloud computing. It begins by explaining how cloud computing evolved from earlier technologies like mainframe computing, client-server systems, virtualization, distributed computing, and internet technologies. It then defines the key aspects of cloud computing models, including service models (IaaS, PaaS, SaaS) and deployment models (private, public, hybrid cloud). The document also outlines some of the core desired features of cloud computing like self-service, elasticity, metering and billing, and customization. Finally, it discusses some challenges and risks of cloud computing including security, privacy, trust issues as well as dependency on the cloud infrastructure.
Disambiguating Advanced Computing for Humanities ResearchersBaden Hughes
The document discusses how advanced computing can enable new opportunities in data-intensive humanities research by providing computational capabilities beyond what is ordinarily available. It outlines the types of advanced computing including clusters, grids, and middleware. It also describes application execution models, interfaces to advanced computing resources, and how this can help humanities researchers answer old questions and discover new ones through computational analysis of large datasets.
This document discusses security issues in cloud computing. It begins by defining cloud computing and describing its service models and deployment models. It then identifies several key security issues in cloud computing, including security, privacy, reliability, lack of open standards, compliance, and concerns about long-term viability of data. Security is identified as the top challenge according to a survey of IT executives. The document argues that more must be done to address security, privacy, and other issues in order to fully realize the potential of cloud computing.
This document summarizes a research paper that proposes a framework for dynamically partitioning mobile applications between a mobile device and cloud computing resources. The framework consists of runtime systems on both the mobile device and cloud to support adaptive partitioning and distributed execution. It aims to efficiently serve large numbers of users by allowing computation instances on the cloud to be shared among multiple applications and tenants. The paper formulates the partitioning problem as an optimization problem that allocates application components and wireless bandwidth to maximize throughput.
Grid computing is a model of distributed computing that uses geographically and administratively disparate resources to solve large problems. It involves sharing computing power, data, and other resources across organizational boundaries. Key aspects include applying resources from many computers to a single problem, combining resources from multiple administrative domains for tasks requiring large processing power or data, and using middleware to coordinate resources as a virtual system. The document then discusses definitions of grid computing from various organizations and the core functional requirements and characteristics needed for grid applications and users.
1) The document discusses route optimization techniques for solving the triangle routing problem in Mobile IPv4, specifically evaluating the performance of the Internet Service Provider Mobile Border Gateway (ISP MBG) scheme.
2) It provides background on Mobile IP, the triangle routing problem, and introduces the ISP MBG technique for optimizing routes.
3) The study evaluates the performance of ISP MBG by varying system parameters like number of nodes and zones, finding it provides shorter transmission times compared to conventional Mobile IP.
A survey of fog computing concepts applications and issuesRezgar Mohammad
This document provides a survey of fog computing that discusses its key concepts, applications, and issues. It defines fog computing as a scenario that provides computation, storage, and networking services between end devices and cloud servers at the edge of the network. Representative applications of fog computing discussed include augmented reality, real-time video analytics, content delivery/caching, and mobile big data analytics. Potential issues covered include fog networking, quality of service concerns regarding connectivity, reliability, and capacity, and resource management challenges in dynamically provisioning and scheduling resources across fog nodes.
Mobile Fog: A Programming Model for Large–Scale Applications on the Internet ...HarshitParkar6677
creating a new environment, namely the Internet of Things
(IoT), that enables a wide range of future Internet applications.
In this work, we present Mobile Fog, a high level
programming model for future Internet applications that are
geospatially distributed, large–scale, and latency–sensitive.
We analyze use cases for the programming model with camera
network and connected vehicle applications to show the
efficacy of Mobile Fog. We also evaluate application performance
through simulation.
Cloud Computing Building A Framework For Successful Transition Gtsijerry0040
The document discusses cloud computing and provides a framework for government agencies to successfully transition to cloud solutions. It defines cloud computing and outlines its key characteristics and deployment models. The benefits of cloud computing for government include increased capacity at lower costs, reduced IT operating costs and resources, and improved collaboration. The document proposes a five step Cloud Computing Maturity Model for agencies to follow: 1) consolidation of servers and resources, 2) virtualization, 3) automation, 4) utility or on-demand access, and 5) full adoption of cloud solutions. Each step builds upon the previous to help agencies maximize benefits while mitigating risks of the transition.
CONTAINERIZED SERVICES ORCHESTRATION FOR EDGE COMPUTING IN SOFTWARE-DEFINED W...IJCNCJournal
As SD-WAN disrupts legacy WAN technologies and becomes the preferred WAN technology adopted by corporations, and Kubernetes becomes the de-facto container orchestration tool, the opportunities for deploying edge-computing containerized applications running over SD-WAN are vast. Service orchestration in SD-WAN has not been provided with enough attention, resulting in the lack of research focused on service discovery in these scenarios. In this article, an in-house service discovery solution that works alongside Kubernetes’ master node for allowing improved traffic handling and better user experience when running micro-services is developed. The service discovery solution was conceived following a design science research approach. Our research includes the implementation of a proof-ofconcept SD-WAN topology alongside a Kubernetes cluster that allows us to deploy custom services and delimit the necessary characteristics of our in-house solution. Also, the implementation's performance is tested based on the required times for updating the discovery solution according to service updates. Finally, some conclusions and modifications are pointed out based on the results, while also discussing possible enhancements.
A New Improved Storage Model of Wireless Devices using the CloudIJCNC
This document summarizes a research paper that proposes using cloud computing to improve storage models for wireless devices. The paper develops a new storage model that uses cloud computing techniques like public and private clouds, topology algorithms, and cloudlets to improve battery life and data storage for mobile devices. It derives a mathematical equation to measure the power provided by a battery and the average battery time under different usage scenarios. The paper also discusses techniques like virtual cloud providers, WINC sleep mode, and Google Location services to further optimize wireless device performance and energy efficiency when using cloud-based storage and applications.
This document compares and contrasts cloud computing and grid computing. Grid computing refers to cooperation between multiple computers and servers to boost computational power, with a focus on high-capacity CPU tasks. Cloud computing delivers on-demand access to shared computing resources like networks, servers, storage and applications via the internet. Key differences include grid computing having a lower level of abstraction and scalability compared to cloud computing. Cloud computing also has stronger fault tolerance, is more widely accessible via the internet, and offers real-time services through its utility-based pricing model.
A Survey of Cloud Computing Approaches, Business Opportunities, Risk Analysis...Eswar Publications
In recent years, cloud computing become mainstream technology in IT industry offering new trends to software,
platform and infrastructure as a service over internet on a global scale by centralizing storage, memory and bandwidth. This new technology raises some new opportunities in producing different business operations which influence some new business benefits also some different risks issues are involved using cloud computing. This paper attempts to identify cloud computing approaches, highlights its business opportunities and help cloud computing user to analysis the cloud computing risks and to produce different solving approaches. This paper is targeted towards business and IT leaders considering a move to the cloud for some or all of their business applications.
This document provides a 3 paragraph summary of a seminar report on cloud computing submitted by Rahul Gupta to his professor Shraddha Khenka. The report acknowledges those who contributed to advancements in internet and computing technologies that enable cloud computing. It includes an introduction to cloud computing, comparisons to other technologies, economics of cloud computing, architectural layers, key features, deployment models, and issues. The summary covers the essential topics and information presented in the seminar report on cloud computing.
The document discusses cloud computing technology and applications. It provides an introduction to cloud computing concepts, distributed systems, MapReduce, and technologies like Google File System, BigTable and AppEngine. It then outlines the syllabus for a cloud computing course, including topics on virtualization, data centers, and guest lectures. Project presentations will account for 60% of the grading.
This document discusses security and privacy issues of fog computing based on a survey of existing work. It begins with an overview of fog computing, defining it as an extension of cloud computing to the edge of networks. It then identifies several key security and privacy challenges of fog computing, including issues of trust and authentication, network security, secure data storage, and secure and private data computation. Several potential solutions are also briefly discussed, such as reputation-based trust models, biometric authentication, software-defined networking for security, and techniques like homomorphic encryption to enable verifiable and private computation on outsourced data.
A review on orchestration distributed systems for IoT smart services in fog c...IJECEIAES
This paper provides a review of orchestration distributed systems for IoT smart services in fog computing. The cloud infrastructure alone cannot handle the flow of information with the abundance of data, devices and interactions. Thus, fog computing becomes a new paradigm to overcome the problem. One of the first challenges was to build the orchestration systems to activate the clouds and to execute tasks throughout the whole system that has to be considered to the situation in the large scale of geographical distance, heterogeneity and low latency to support the limitation of cloud computing. Some problems exist for orchestration distributed in fog computing are to fulfil with high reliability and low-delay requirements in the IoT applications system and to form a larger computer network like a fog network, at different geographic sites. This paper reviewed approximately 68 articles on orchestration distributed system for fog computing. The result shows the orchestration distribute system and some of the evaluation criteria for fog computing that have been compared in terms of Borg, Kubernetes, Swarm, Mesos, Aurora, heterogeneity, QoS management, scalability, mobility, federation, and interoperability. The significance of this study is to support the researcher in developing orchestration distributed systems for IoT smart services in fog computing focus on IR4.0 national agenda.
Security and Privacy Issues of Fog Computing: A SurveyHarshitParkar6677
Abstract. Fog computing is a promising computing paradigm that ex-
tends cloud computing to the edge of networks. Similar to cloud comput-
ing but with distinct characteristics, fog computing faces new security
and privacy challenges besides those inherited from cloud computing. In
this paper, we have surveyed these challenges and corresponding solu-
tions in a brief manner.
HYBRID OPTICAL AND ELECTRICAL NETWORK FLOWS SCHEDULING IN CLOUD DATA CENTRESijcsit
This document summarizes a research paper on scheduling flows in hybrid optical and electrical networks for cloud data centers. The paper proposes a strategy for selecting which flows are suitable to switch from the electrical packet network to the optical circuit network. It presents techniques for detecting bottlenecks in the packet network and selecting flows to offload. Simulation results showed improved network performance from this flow selection approach, including higher average throughput, lower configuration delay, and more stable offloaded flows.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
The document proposes a Wireless Network Cloud (WNC) architecture that uses cloud computing technology to virtualize base stations. The WNC allows wireless access networks to operate in a cloud mode by separating hardware and software and providing resources in a centralized manner. It analyzes challenges like computational requirements for virtual base stations. Mobile cloud computing is also discussed, which moves computing and storage away from mobile devices into powerful cloud platforms accessed over wireless connections using thin clients. This approach extends battery life and improves data storage and processing capabilities for mobile users.
www.iosrjournals.org 57 | Page Latest development of cloud computing technolo...Sushil kumar Choudhary
This document discusses the latest developments in cloud computing technology. It begins with definitions of cloud computing and describes its evolution over time from mainframes to current cloud models. The key characteristics of cloud computing are described, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Challenges of cloud computing are also outlined. The document then examines the different deployment models including private clouds, public clouds, hybrid clouds, and community clouds. It also explores the various cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud computing providers like Amazon, Google, and Microsoft are mentioned
This document discusses the core concepts of cloud computing. It begins by explaining how cloud computing evolved from earlier technologies like mainframe computing, client-server systems, virtualization, distributed computing, and internet technologies. It then defines the key aspects of cloud computing models, including service models (IaaS, PaaS, SaaS) and deployment models (private, public, hybrid cloud). The document also outlines some of the core desired features of cloud computing like self-service, elasticity, metering and billing, and customization. Finally, it discusses some challenges and risks of cloud computing including security, privacy, trust issues as well as dependency on the cloud infrastructure.
Disambiguating Advanced Computing for Humanities ResearchersBaden Hughes
The document discusses how advanced computing can enable new opportunities in data-intensive humanities research by providing computational capabilities beyond what is ordinarily available. It outlines the types of advanced computing including clusters, grids, and middleware. It also describes application execution models, interfaces to advanced computing resources, and how this can help humanities researchers answer old questions and discover new ones through computational analysis of large datasets.
This document discusses security issues in cloud computing. It begins by defining cloud computing and describing its service models and deployment models. It then identifies several key security issues in cloud computing, including security, privacy, reliability, lack of open standards, compliance, and concerns about long-term viability of data. Security is identified as the top challenge according to a survey of IT executives. The document argues that more must be done to address security, privacy, and other issues in order to fully realize the potential of cloud computing.
This document summarizes a research paper that proposes a framework for dynamically partitioning mobile applications between a mobile device and cloud computing resources. The framework consists of runtime systems on both the mobile device and cloud to support adaptive partitioning and distributed execution. It aims to efficiently serve large numbers of users by allowing computation instances on the cloud to be shared among multiple applications and tenants. The paper formulates the partitioning problem as an optimization problem that allocates application components and wireless bandwidth to maximize throughput.
Grid computing is a model of distributed computing that uses geographically and administratively disparate resources to solve large problems. It involves sharing computing power, data, and other resources across organizational boundaries. Key aspects include applying resources from many computers to a single problem, combining resources from multiple administrative domains for tasks requiring large processing power or data, and using middleware to coordinate resources as a virtual system. The document then discusses definitions of grid computing from various organizations and the core functional requirements and characteristics needed for grid applications and users.
1) The document discusses route optimization techniques for solving the triangle routing problem in Mobile IPv4, specifically evaluating the performance of the Internet Service Provider Mobile Border Gateway (ISP MBG) scheme.
2) It provides background on Mobile IP, the triangle routing problem, and introduces the ISP MBG technique for optimizing routes.
3) The study evaluates the performance of ISP MBG by varying system parameters like number of nodes and zones, finding it provides shorter transmission times compared to conventional Mobile IP.
A survey of fog computing concepts applications and issuesRezgar Mohammad
This document provides a survey of fog computing that discusses its key concepts, applications, and issues. It defines fog computing as a scenario that provides computation, storage, and networking services between end devices and cloud servers at the edge of the network. Representative applications of fog computing discussed include augmented reality, real-time video analytics, content delivery/caching, and mobile big data analytics. Potential issues covered include fog networking, quality of service concerns regarding connectivity, reliability, and capacity, and resource management challenges in dynamically provisioning and scheduling resources across fog nodes.
Mobile Fog: A Programming Model for Large–Scale Applications on the Internet ...HarshitParkar6677
creating a new environment, namely the Internet of Things
(IoT), that enables a wide range of future Internet applications.
In this work, we present Mobile Fog, a high level
programming model for future Internet applications that are
geospatially distributed, large–scale, and latency–sensitive.
We analyze use cases for the programming model with camera
network and connected vehicle applications to show the
efficacy of Mobile Fog. We also evaluate application performance
through simulation.
Cloud Computing Building A Framework For Successful Transition Gtsijerry0040
The document discusses cloud computing and provides a framework for government agencies to successfully transition to cloud solutions. It defines cloud computing and outlines its key characteristics and deployment models. The benefits of cloud computing for government include increased capacity at lower costs, reduced IT operating costs and resources, and improved collaboration. The document proposes a five step Cloud Computing Maturity Model for agencies to follow: 1) consolidation of servers and resources, 2) virtualization, 3) automation, 4) utility or on-demand access, and 5) full adoption of cloud solutions. Each step builds upon the previous to help agencies maximize benefits while mitigating risks of the transition.
CONTAINERIZED SERVICES ORCHESTRATION FOR EDGE COMPUTING IN SOFTWARE-DEFINED W...IJCNCJournal
As SD-WAN disrupts legacy WAN technologies and becomes the preferred WAN technology adopted by corporations, and Kubernetes becomes the de-facto container orchestration tool, the opportunities for deploying edge-computing containerized applications running over SD-WAN are vast. Service orchestration in SD-WAN has not been provided with enough attention, resulting in the lack of research focused on service discovery in these scenarios. In this article, an in-house service discovery solution that works alongside Kubernetes’ master node for allowing improved traffic handling and better user experience when running micro-services is developed. The service discovery solution was conceived following a design science research approach. Our research includes the implementation of a proof-ofconcept SD-WAN topology alongside a Kubernetes cluster that allows us to deploy custom services and delimit the necessary characteristics of our in-house solution. Also, the implementation's performance is tested based on the required times for updating the discovery solution according to service updates. Finally, some conclusions and modifications are pointed out based on the results, while also discussing possible enhancements.
A New Improved Storage Model of Wireless Devices using the CloudIJCNC
This document summarizes a research paper that proposes using cloud computing to improve storage models for wireless devices. The paper develops a new storage model that uses cloud computing techniques like public and private clouds, topology algorithms, and cloudlets to improve battery life and data storage for mobile devices. It derives a mathematical equation to measure the power provided by a battery and the average battery time under different usage scenarios. The paper also discusses techniques like virtual cloud providers, WINC sleep mode, and Google Location services to further optimize wireless device performance and energy efficiency when using cloud-based storage and applications.
This document compares and contrasts cloud computing and grid computing. Grid computing refers to cooperation between multiple computers and servers to boost computational power, with a focus on high-capacity CPU tasks. Cloud computing delivers on-demand access to shared computing resources like networks, servers, storage and applications via the internet. Key differences include grid computing having a lower level of abstraction and scalability compared to cloud computing. Cloud computing also has stronger fault tolerance, is more widely accessible via the internet, and offers real-time services through its utility-based pricing model.
A Survey of Cloud Computing Approaches, Business Opportunities, Risk Analysis...Eswar Publications
In recent years, cloud computing become mainstream technology in IT industry offering new trends to software,
platform and infrastructure as a service over internet on a global scale by centralizing storage, memory and bandwidth. This new technology raises some new opportunities in producing different business operations which influence some new business benefits also some different risks issues are involved using cloud computing. This paper attempts to identify cloud computing approaches, highlights its business opportunities and help cloud computing user to analysis the cloud computing risks and to produce different solving approaches. This paper is targeted towards business and IT leaders considering a move to the cloud for some or all of their business applications.
This document provides a 3 paragraph summary of a seminar report on cloud computing submitted by Rahul Gupta to his professor Shraddha Khenka. The report acknowledges those who contributed to advancements in internet and computing technologies that enable cloud computing. It includes an introduction to cloud computing, comparisons to other technologies, economics of cloud computing, architectural layers, key features, deployment models, and issues. The summary covers the essential topics and information presented in the seminar report on cloud computing.
The document discusses cloud computing technology and applications. It provides an introduction to cloud computing concepts, distributed systems, MapReduce, and technologies like Google File System, BigTable and AppEngine. It then outlines the syllabus for a cloud computing course, including topics on virtualization, data centers, and guest lectures. Project presentations will account for 60% of the grading.
This document discusses security and privacy issues of fog computing based on a survey of existing work. It begins with an overview of fog computing, defining it as an extension of cloud computing to the edge of networks. It then identifies several key security and privacy challenges of fog computing, including issues of trust and authentication, network security, secure data storage, and secure and private data computation. Several potential solutions are also briefly discussed, such as reputation-based trust models, biometric authentication, software-defined networking for security, and techniques like homomorphic encryption to enable verifiable and private computation on outsourced data.
A review on orchestration distributed systems for IoT smart services in fog c...IJECEIAES
This paper provides a review of orchestration distributed systems for IoT smart services in fog computing. The cloud infrastructure alone cannot handle the flow of information with the abundance of data, devices and interactions. Thus, fog computing becomes a new paradigm to overcome the problem. One of the first challenges was to build the orchestration systems to activate the clouds and to execute tasks throughout the whole system that has to be considered to the situation in the large scale of geographical distance, heterogeneity and low latency to support the limitation of cloud computing. Some problems exist for orchestration distributed in fog computing are to fulfil with high reliability and low-delay requirements in the IoT applications system and to form a larger computer network like a fog network, at different geographic sites. This paper reviewed approximately 68 articles on orchestration distributed system for fog computing. The result shows the orchestration distribute system and some of the evaluation criteria for fog computing that have been compared in terms of Borg, Kubernetes, Swarm, Mesos, Aurora, heterogeneity, QoS management, scalability, mobility, federation, and interoperability. The significance of this study is to support the researcher in developing orchestration distributed systems for IoT smart services in fog computing focus on IR4.0 national agenda.
Security and Privacy Issues of Fog Computing: A SurveyHarshitParkar6677
Abstract. Fog computing is a promising computing paradigm that ex-
tends cloud computing to the edge of networks. Similar to cloud comput-
ing but with distinct characteristics, fog computing faces new security
and privacy challenges besides those inherited from cloud computing. In
this paper, we have surveyed these challenges and corresponding solu-
tions in a brief manner.
1) Fog computing is an extension of cloud computing that processes data closer to the edge of the network, such as at factory equipment, power poles, or vehicles. It aims to improve efficiency and reduce data transportation costs compared to cloud computing alone.
2) Fog computing involves fog nodes that are located between end devices and the cloud. Fog nodes can perform tasks like data analysis, storage, and sharing results with the cloud and other nodes. This helps process time-sensitive data locally for applications involving the internet of things.
3) Fog computing provides advantages over cloud computing like lower latency, better support for mobility and real-time interactions, local data processing for privacy and efficiency, and ability to handle
Green Cloud Computing :Emerging TechnologyIRJET Journal
This document discusses green cloud computing and how cloud infrastructure contributes to high energy consumption. It summarizes that while cloud computing provides cost and scalability benefits, the growing demand on data centers has increased energy usage and carbon emissions. However, the document also explains that cloud computing technologies like dynamic provisioning, multi-tenancy, high server utilization, and efficient data center design can help reduce the environmental impact and enable more sustainable "green" cloud computing through higher efficiency. Future research directions are needed to further optimize cloud resource usage and energy efficiency from a holistic perspective.
IRJET- Edge Computing the Next Computational LeapIRJET Journal
This document discusses edge computing, which involves processing data at the edge of networks rather than sending all data to centralized cloud servers. It defines edge computing and describes how it can reduce latency, bandwidth costs, and improve privacy and security over cloud-only systems. Key applications of edge computing mentioned are smart cities and autonomous vehicles. The document outlines some challenges of edge computing, such as ensuring programmability across heterogeneous edge devices and addressing security, privacy, naming, and data abstraction issues.
IRJET- Edge Computing the Next Computational LeapIRJET Journal
The document discusses edge computing, which involves processing data at the edge of networks, close to where it is generated by IoT devices, rather than sending all data to centralized cloud servers. Edge computing can reduce latency, bandwidth costs, and improve privacy and security by keeping data processing localized. It describes how edge computing is needed as more data is generated by devices and applications like self-driving cars require real-time processing. Edge computing provides advantages over traditional cloud-based approaches like reduced latency and energy consumption. Potential applications of edge computing include smart cities and autonomous vehicles. Challenges to address include programming heterogeneous edge devices and ensuring security and privacy.
Secure cloud storage privacy preserving public auditing for data storage secu...rajender147
This document proposes a privacy-preserving public auditing system for data storage security in cloud computing. It describes a system with four entities - the data owner who stores data in the cloud, the cloud service provider who provides storage, a third party auditor who verifies the integrity of stored data on behalf of owners, and granted applications that can access the stored data. The system uses secret keys to preprocess and encrypt the owner's data before storage. It allows the third party auditor to efficiently verify the correctness and integrity of stored data through proof of irretrievability protocols, while preserving the privacy of the owner's data. The system aims to ensure data security and privacy during public auditing in cloud storage.
Assessment to Delegate the Task to Cloud for Increasing Energy Efficiency of ...IRJET Journal
This document discusses assessing whether tasks on mobile phones should be offloaded to the cloud to improve energy efficiency. It presents a model where mobile devices can offload computationally intensive tasks to the cloud via wireless networks. An experiment is described that compares the energy consumption and time taken of a video conversion task performed locally on a mobile phone versus offloading the task or different parts of the task to a cloud. The results show that offloading the entire task to the cloud reduces energy consumption and processing time compared to performing the task locally on the mobile phone. The document concludes offloading tasks to the cloud can increase a mobile phone's energy efficiency and discusses areas for future work.
This document discusses fog computing and its role in supporting Internet of Things applications. It defines fog computing as extending cloud computing to the edge of the network to enable applications requiring low latency, mobility support, and location awareness. Key characteristics of fog include its geographical distribution, support for real-time interactions, and role in streaming and sensor applications. The document argues fog is well-suited as a platform for connected vehicles, smart grids, smart cities, and wireless sensor networks due to its ability to meet latency and mobility requirements. It also describes the interplay between fog and cloud for data analytics, with fog handling real-time analytics near data sources and cloud providing long-term global analytics.
Efficient architectural framework of cloud computing Souvik Pal
This document discusses an efficient architectural framework for cloud computing. It begins by providing background on cloud computing and discusses challenges such as security, privacy, and reliability. It then proposes a new architectural framework that separates infrastructure as a service (IaaS) into three sub-modules: IaaS itself, a hypervisor monitoring environment (HME), and resources as a service (RaaS). The HME acts as middleware between IaaS and physical resources, using a hypervisor to allocate resources from a pool managed by RaaS. This proposed framework is intended to improve performance and access speed for cloud computing.
This document discusses fog computing and its role in supporting Internet of Things applications. It defines fog computing as extending cloud computing to the edge of the network to enable applications requiring low latency, mobility support, and location awareness. Key characteristics of fog include its geographical distribution, support for real-time interactions, and role in streaming and sensor applications. The document argues fog is well-suited as a platform for connected vehicles, smart grids, smart cities, and wireless sensor networks due to its ability to meet latency and mobility requirements. It also describes how fog and cloud can work together with fog handling real-time analytics near data sources and cloud providing long-term global analytics and data storage.
Decision to offload the task to Cloud for increasing energy efficiency of Mob...IRJET Journal
This document discusses increasing the energy efficiency of mobile phones through task offloading to cloud computing. It presents a model where mobile devices can offload computationally intensive tasks to remote cloud servers to save battery power. The key factors in determining whether to offload a task include the processing speeds of the mobile device and cloud server, data transmission time over the network, and power consumption for local processing versus transmission. An analytical model is developed using 802.11 WiFi specifications to estimate transmission times and energy savings from offloading tasks to the cloud. The goal is to provide a way to decide whether offloading a specific task will increase energy efficiency for the mobile phone.
Energy Optimized Link Selection Algorithm for Mobile Cloud ComputingEswar Publications
Mobile cloud computing is the revolutionary distributed computing research area which consists of three different domains: cloud computing, wireless networks and mobile computing targeting to improve the task computational capabilities of the mobile devices in order to minimize the energy consumption. Heavy computations can be offloaded to the cloud to decrease energy consumption for the mobile device. In some mobile cloud applications, it has been more energy inefficient to use the cloud compared to the conventional computing conducted in the local device. Despite mobile cloud computing being a reliable idea, still faces several
problems for mobile phones such as storage, short battery life and so on. One of the most important concerns for mobile devices is low energy consumption. Different network links has different bandwidths to uplink and downlink task as well as data transmission from mobile to cloud or vice-versa. In this paper, a novel optimal link selection algorithm is proposed to minimize the mobile energy. In the first phase, all available networks are
scanned and then signal strength is calculated. All the calculated signals along with network locations are given
input to the optimal link selection algorithm. After the execution of link selection algorithm, an optimal network link is selected.
ENERGY EFFICIENT COMPUTING FOR SMART PHONES IN CLOUD ASSISTED ENVIRONMENTIJCNCJournal
In recent years, the employment of smart mobile phones has increased enormously and are concerned as an area of human life. Smartphones are capable to support immense range of complicated and intensive applications results shortened power capability and fewer performance. Mobile cloud computing is the newly rising paradigm integrates the features of cloud computing and mobile computing to beat the constraints of mobile devices. Mobile cloud computing employs computational offloading that migrates the computations from mobile devices to remote servers. In this paper, a novel model is proposed for dynamic task offloading to attain the energy optimization and better performance for mobile applications in the cloud environment. The paper proposed an optimum offloading algorithm by introducing new criteria such as benchmarking for offloading decision making. It also supports the concept of partitioning to divide the computing problem into various sub-problems. These sub-problems can be executed parallelly on mobile device and cloud. Performance evaluation results proved that the proposed model can reduce around 20% to 53% energy for low complexity problems and up to 98% for high complexity problems.
Clarifying fog computing and networking 10 questions and answersRezgar Mohammad
Fog computing is an architecture that distributes computing, storage, control and networking functions closer to users along the cloud-to-thing continuum compared to traditional cloud computing architectures. It aims to provide a seamless continuum of services from the cloud to end devices. Key differences between fog and edge computing are that fog is more inclusive, seeks to realize a seamless continuum rather than isolated platforms, and envisions a horizontal platform to support multiple industries. Fog computing is expected to enable new commercial opportunities and business models by providing integrated end-to-end services and applications through the convergence of cloud and fog platforms.
Fog Computing – Enhancing the Maximum Energy Consumption of Data Servers.dbpublications
Fog Computing and IoT systems make use of end-user premises devices as local servers. Here, we are identifying the scenarios for which running applications from NDCs are more energy-efficient than running the same applications from MDC. With the complete survey and analysis of various energy consumption factors such as different flow-variants and time-variants with respect to the Network Equipment we found two energy consumption use cases and respective results. Parameters such as current Load, Pmax, Cmax, Incremental Energy etc evolved with respect to system structure and various data related parameters leading to the conclusion that the NDC utilizes relatively reduced factor of energy comparative to the MDC. The study reveals that NDC as a part of Fog makeweights the MDCs to accompany respective applications, especially in the scenarios where IoT based applications are used where end users are the source data providers and can maximize the server utilization.
This document provides an overview of fog computing, including its characteristics, architecture, applications, examples, advantages, and disadvantages. Fog computing extends cloud computing by performing computing tasks closer to end users at the edge of the network to reduce latency. It has a dense geographical distribution and supports mobility and real-time interactions better than cloud computing. The document outlines the key components of fog architecture and discusses scenarios where fog computing can be applied, such as smart grids, smart buildings, and connected vehicles.
Contemporary Energy Optimization for Mobile and Cloud Environmentijceronline
Cloud and mobile computing applications are increasing heavily in terms of usage. These two areas extending usability of systems. This review paper gives information about cloud and mobile applications in terms of resources they consume and the need of choosing variety of features for users from several locations and the evolutionary provisions for service provider and end users. Both the fields are combined to provide good functionality, efficiency and effectiveness with mobile phones. The enhancement by considering power consumption by means of resource constrained nature of devices, communication media and cost effectiveness. This paper discuss about the concepts related to power consumption, underlying protocols and the other performance issues
Similar to IRJET- Fog Route:Distribution of Data using Delay Tolerant Network (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
An In-Depth Exploration of Natural Language Processing: Evolution, Applicatio...DharmaBanothu
Natural language processing (NLP) has
recently garnered significant interest for the
computational representation and analysis of human
language. Its applications span multiple domains such
as machine translation, email spam detection,
information extraction, summarization, healthcare,
and question answering. This paper first delineates
four phases by examining various levels of NLP and
components of Natural Language Generation,
followed by a review of the history and progression of
NLP. Subsequently, we delve into the current state of
the art by presenting diverse NLP applications,
contemporary trends, and challenges. Finally, we
discuss some available datasets, models, and
evaluation metrics in NLP.
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Online train ticket booking system project.pdfKamal Acharya
Rail transport is one of the important modes of transport in India. Now a days we
see that there are railways that are present for the long as well as short distance
travelling which makes the life of the people easier. When compared to other
means of transport, a railway is the cheapest means of transport. The maintenance
of the railway database also plays a major role in the smooth running of this
system. The Online Train Ticket Management System will help in reserving the
tickets of the railways to travel from a particular source to the destination.
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...IJCNCJournal
Paper Title
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation with Hybrid Beam Forming Power Transfer in WSN-IoT Applications
Authors
Reginald Jude Sixtus J and Tamilarasi Muthu, Puducherry Technological University, India
Abstract
Non-Orthogonal Multiple Access (NOMA) helps to overcome various difficulties in future technology wireless communications. NOMA, when utilized with millimeter wave multiple-input multiple-output (MIMO) systems, channel estimation becomes extremely difficult. For reaping the benefits of the NOMA and mm-Wave combination, effective channel estimation is required. In this paper, we propose an enhanced particle swarm optimization based long short-term memory estimator network (PSOLSTMEstNet), which is a neural network model that can be employed to forecast the bandwidth required in the mm-Wave MIMO network. The prime advantage of the LSTM is that it has the capability of dynamically adapting to the functioning pattern of fluctuating channel state. The LSTM stage with adaptive coding and modulation enhances the BER.PSO algorithm is employed to optimize input weights of LSTM network. The modified algorithm splits the power by channel condition of every single user. Participants will be first sorted into distinct groups depending upon respective channel conditions, using a hybrid beamforming approach. The network characteristics are fine-estimated using PSO-LSTMEstNet after a rough approximation of channels parameters derived from the received data.
Keywords
Signal to Noise Ratio (SNR), Bit Error Rate (BER), mm-Wave, MIMO, NOMA, deep learning, optimization.
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