检索结果-南通市图书馆

维普期刊数据库

Correlation-Aware Replica Prefetching Strategy to Decrease Access Latency in edge cloud

在线全文

学校读者我要写书评

暂无评论

China Communications 2021年第9期18卷 249-264页

作者： Yang Liang Zhigang Hu Xinyu Zhang Hui Xiao School of Computer Science and Engineering Central South UniversityChangsha 410083China School of Informatics Hunan University of Chinese MedicineChangsha 410208China TCM Big Data Analysis Laboratory of Hunan Hunan University of Chinese MedicineChangsha 410208China

With the number of connected devices increasing rapidly,the access latency issue increases drastically in the edge cloud *** low time-constrained and data-intensive mobile applications require efficient replication strategies to decrease retrieval ***,the determination of replicas is not reasonable in many previous works,which incurs high response *** this end,a correlation-aware replica prefetching(CRP)strategy based on the file correlation principle is proposed,which can prefetch the files with high access *** key is to determine and obtain the implicit high-value files effectively,which has a significant impact on the performance of *** achieve the goal of accelerating the acquisition of implicit highvalue files,an access rule management method based on consistent hashing is proposed,and then the storage and query mechanisms for access rules based on adjacency list storage structure are further *** theoretical analysis and simulation results corroborate that CRP shortens average response time over 4.8%,improves average hit ratio over 4.2%,reduces transmitting data amount over 8.3%,and maintains replication frequency at a reasonable level when compared to other schemes.

关键词： edge cloud access latency replica prefetching correlation-aware access rule

维普期刊数据库

A PSO Improved with Imbalanced Mutation and Task Rescheduling for Task Offloading in End-edge-cloud Computing

在线全文

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第11期47卷 2259-2274页

作者： Kaili Shao Hui Fu Ying Song Bo Wang Faculty of Engineering Huanghe Science and Technology UniversityZhengzhou 450003China Computer School Beijing Information Science and Technology UniversityBeijing100192China Software Engineering College Zhengzhou University of Light IndustryZhengzhou450001China

To serve various tasks requested by various end devices with different requirements,end-edge-cloud(E2C)has attracted more and more attention from specialists in both academia and industry,by combining both benefits of edge and cloud *** nowadays,E2C still suffers from low service quality and resource efficiency,due to the geographical distribution of edge resources and the high dynamic of network topology and user *** address these issues,this paper focuses on task offloading,which makes decisions that which resources are allocated to tasks for their *** paper first formulates the problem into binary non-linear programming and then proposes a particle swarm optimization(PSO)-based algorithm to solve the *** proposed algorithm exploits an imbalance mutation operator and a task rescheduling approach to improve the performance of *** proposed algorithm concerns the resource heterogeneity by correlating the probability that a computing node is decided to process a task with its capacity,by the imbalance *** task rescheduling approach improves the acceptance ratio for a task offloading solution,by reassigning rejected tasks to computing nodes with available *** simulated experiments are *** the results show that the proposed offloading algorithm has an 8.93%–37.0%higher acceptance ratio than ten of the classical and up-to-date algorithms,and verify the effectiveness of the imbalanced mutation and the task rescheduling.

关键词： cloud computing edge computing edge cloud task scheduling task offloading particle swarm optimization

Akamai推出edge cloud解决方案

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

智能制造 2019年第8期 8-9页

近日,智能边缘平台供应商阿卡迈技术公司(Akamai Technologies, Inc.)发布了edge cloud解决方案系列,其利用Akamai边缘平台的强大功能来大规模优化和保护数据交付(确保将数据交付至联网设备)和应用程序内信息传递。edge cloud旨在满足... 详细信息

近日,智能边缘平台供应商阿卡迈技术公司(Akamai Technologies, Inc.)发布了edge cloud解决方案系列,其利用Akamai边缘平台的强大功能来大规模优化和保护数据交付(确保将数据交付至联网设备)和应用程序内信息传递。edge cloud旨在满足企业的需求,帮助它们在物联网联网设备革命中让数十亿个端点实现联机,并进一步提高应用程序内信息传递的采用率和功能。edge cloud解决方案产品系列提供了其他面向物联网

关键词：物联网信息传递应用程序联网设备 edge cloud Akamai

Multi-stage online task assignment driven by offline data under spatio-temporal crowdsourcing

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Digital Communications and Networks 2022年第4期8卷 516-530页

作者： Qi Zhang Yingjie Wang Zhipeng Cai Xiangrong Tong The School of Computer and Control Engineering Yantai UniversityYantai264005China Yantai Key Laboratory of High-end Ocean Engineering Equipment and Intelligent Technology Yantai264005China The Department of Computer Science Georgia State UniversityAtlantaGA30303USA

In the era of the Internet of Things(IoT),the crowdsourcing process is driven by data collected by devices that interact with each other and with the physical *** a part of the IoT ecosystem,task assignment has become an important goal of the research *** task assignment algorithms can be categorized as offline(performs better with datasets but struggles to achieve good real-life results)or online(works well with real-life input but is difficult to optimize regarding in-depth assignments).This paper proposes a Cross-regional Online Task(CROT)assignment problem based on the online assignment *** the CROT problem,an Online Task Assignment across Regions based on Prediction(OTARP)algorithm is *** is a two-stage graphics-driven bilateral assignment strategy that uses edge cloud and graph embedding to complete task *** first stage uses historical data to make offline predictions,with a graph-driven method for offline bipartite graph *** second stage uses a bipartite graph to complete the online task assignment *** paper proposes accelerating the task assignment process through multiple assignment rounds and optimizing the process by combining offline guidance and online assignment *** encourage crowd workers to complete crowd tasks across regions,an incentive strategy is designed to encourage crowd workers’*** avoid the idle problem in the process of crowd worker movement,a drop-by-rider problem is used to help crowd workers accept more crowd tasks,optimize the number of assignments,and increase ***,through comparison experiments on real datasets,the performance of the proposed algorithm on crowd worker utility value and the matching number is evaluated.

关键词： Spatiotemporal crowdsourcing Cross-regional edge cloud Offline prediction Oline task assignment

维普期刊数据库

Clustered Single-Board Devices with Docker Container Big Stream Processing Architecture

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第12期73卷 5349-5365页

作者： N.Penchalaiah Abeer S.Al-Humaimeedy Mashael Maashi J.Chinna Babu Osamah Ibrahim Khalaf Theyazn H.H.Aldhyani Department of CSE AITSRajampet516126Andhra PradeshIndia Software Engineering Department College of Computer and Information SciencesKing Saud UniversityP.O.Box 103786Riyadh11616Saudi Arabia Software Engineering Department King Saud UniversityRiyadh11543Saudi Arabia Department of Electronics and Communication Engineering Annamacharya Institute of Technology and SciencesRajampet516126Andhra PradeshIndia Al-Nahrain University Al-Nahrain Nanorenewable Energy Research CenterBaghdad10072Iraq Applied College in Abqaiq King Faisal UniversityP.O.Box 400Al-Ahsa31982Saudi Arabia

The expanding amounts of information created by Internet of Things(IoT)devices places a strain on cloud computing,which is often used for data analysis and *** paper investigates a different approach based on edge cloud applications,which involves data filtering and processing before being delivered to a backup cloud *** Paper suggest designing and implementing a low cost,low power cluster of Single Board Computers(SBC)for this purpose,reducing the amount of data that must be transmitted elsewhere,using Big Data ideas and *** Apache Hadoop and Spark Cluster that was used to run a test application was containerized and deployed using a Raspberry Pi cluster and *** obtain system data and analyze the setup’s performance a Prometheusbased stack monitoring and alerting solution in the cloud based market is *** Paper assesses the system’s complexity and demonstrates how containerization can improve fault tolerance and maintenance ease,allowing the suggested solution to be used in *** evaluation of the overall performance is presented to highlight the capabilities and limitations of the suggested architecture,taking into consideration the suggested solution’s resource use in respect to device restrictions.

关键词： Big data edge cloud cluster architecture performance engineering Raspberry pi dockers warm container technology data streaming

Data management,communication systems and the edge:Challenges for the future of transportation

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Communications in Transportation Research 2021年第1期1卷 205-207页

作者： Ahmed Ali-Eldin Erik Elmroth Chalmers University of Technology Sweden Ume€a University Sweden

edge *** cloud systems have emerged as a new promising alternative to address the needs of many emerging latency-critical applications such as autonomous *** applications are ill-suited for traditional clouds due to the end-to-end latency and the limited bandwidth between the cloud's(few)data centers and these *** the edge cloud model,a myriad of small-scale computing clusters are brought next to the applications at the edge of the *** Applications in transportation engineering such as autonomous vehicle collision avoidance,and fleet management,requiring more global decision making for safety and correctness of operation,can thus make use of edge cloud systems,offloading their computations to these edge *** edge can then analyze data from these vehicles to optimize the traffic flow,reduce accidents,and provide transportation systems with more *** idea of edge computing today forms a cornerstone in the design of many future systems,including,5G networks and autonomous vehicles,among many others(see Fig.1).

关键词： edge cloud Autonomous vehicles