Survey of Task Scheduling in Cloud Computing based on Particle Swarm Optimization

被引：0
作者：
Alkayal, Entisar S. [1 ]
Jennings, Nicholas R. [2 ,3 ]
Abulkhair, Maysoon F. [1 ]
机构：
[1] King Abdulaziz Univ, Fac Comp & Informat Technol, Jeddah, Saudi Arabia
[2] Imperial Coll, Dept Comp Elect, London, England
[3] Imperial Coll, Dept Elect Engn, London, England
来源：
2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTING TECHNOLOGIES AND APPLICATIONS (ICECTA) | 2017年
关键词：
Task Scheduling; Particle Swarm Optimization; Cloud Computing; multi-objective optimization; ALGORITHM; PSO;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Particle Swarm Optimization (PSO) is a meta-heuristic algorithm applied to optimize many cloud-computing problems. Task scheduling is a critical problem in the cloud computing that needs to be optimized Several research studies have been conducted to improve cloud-computing task scheduling using PSO algorithms. This paper analyzes this work in terms of its objectives and orientation. Finally, it identifies the key areas that require further research.
引用
收藏
页码：263 / 268
页数：6
相关论文
共 33 条
[1]  
Adil Syed Hasan, 2015, OP SOURC SYST TECHN
[2]  
Al-maamari A., 2015, IOSR J COMPUTER ENG, V17, P96
[3]  
Al-Olimat Hussein S., 2015, COMM SYST NETW TECH
[4]  
Alkayal Entisar S., 2016, LOC COMP NETW WORKSH
[5]  
[Anonymous], 2014, INT C MACH LEARN EL
[6]  
[Anonymous], ADV INF NETW APPL AI
[7]   Enhanced Particle Swarm Optimization For Task Scheduling In Cloud Computing Environments [J].
Awad, A. I. ;
El-Hefnawy, N. A. ;
Kader, H. M. Abdel .
INTERNATIONAL CONFERENCE ON COMMUNICATIONS, MANAGEMENT, AND INFORMATION TECHNOLOGY (ICCMIT'2015), 2015, 65 :920-929
[8]  
Beegom AS Ajeena, 2014, INT C SWARM INT
[9]  
Dinh Juan J., 2009, INT C EV MULT OPT
[10]  
Feng Mingyue, 2012, CLOUD COMP INT SYST, V3
1234