典型文献
EA-DFPSO:An intelligent energy-efficient scheduling algorithm for mobile edge networks
文献摘要：
Cloud data centers have become overwhelmed with data-intensive applications due to the limited computational capabilities of mobile terminals.Mobile edge computing is emerging as a potential paradigm to host application execution at the edge of networks to reduce transmission delays.Compute nodes are usually distributed in edge environments,enabling crucially efficient task scheduling among those nodes to achieve reduced processing time.Moreover,it is imperative to conserve edge server energy,enhancing their lifetimes.To this end,this paper proposes a novel task scheduling algorithm named Energy-aware Double-fitness Particle Swarm Optimization(EA-DFPSO)that is based on an improved particle swarm optimization algorithm for achieving energy efficiency in an edge computing environment along with minimal task execution time.The proposed EA-DFPSO algorithm applies a dual fitness function to search for an optimal tasks-scheduling scheme for saving edge server energy while maintaining service quality for tasks.Extensive experimentation demonstrates that our proposed EA-DFPSO algorithm outperforms the existing traditional scheduling algorithms to achieve reduced task completion time and conserve energy in an edge computing environment.
文献关键词：
中图分类号：
作者姓名：
Yao Lu;Lu Liu;Jiayan Gu;John Panneerselvam;Bo Yuan
作者机构：
School of Informatics,University of Leicester,University Road,Leicester,LE1 7RH,United Kingdom;School of Computing and Engineering,University of Derby,Kedleston Road,Derby,DE22 1GB,United Kingdom
文献出处：
引用格式：
[1]Yao Lu;Lu Liu;Jiayan Gu;John Panneerselvam;Bo Yuan-.EA-DFPSO:An intelligent energy-efficient scheduling algorithm for mobile edge networks)[J].数字通信与网络（英文）,2022(03):237-246
A类：
DFPSO
B类：
EA,An,intelligent,energy,efficient,scheduling,mobile,edge,networks,Cloud,data,centers,have,become,overwhelmed,intensive,applications,due,limited,computational,capabilities,terminals,Mobile,computing,emerging,potential,paradigm,host,execution,transmission,delays,Compute,nodes,usually,distributed,environments,enabling,crucially,among,those,achieve,reduced,processing,Moreover,imperative,conserve,server,enhancing,their,lifetimes,To,this,end,paper,proposes,novel,named,Energy,aware,Double,fitness,Particle,Swarm,Optimization,that,improved,particle,swarm,optimization,achieving,efficiency,along,minimal,proposed,applies,dual,function,search,optimal,tasks,scheme,saving,while,maintaining,service,quality,Extensive,experimentation,demonstrates,our,outperforms,existing,traditional,algorithms,completion
AB值：
0.554581
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