Survey of Task Scheduling in Cloud Computing based on Particle Swarm Optimization
File(s)08251985.pdf (252.45 KB)
Accepted version
Author(s)
Alkayal, Entisar S
Jennings, Nicholas R
Abulkhair, Maysoon F
Type
Conference Paper
Abstract
Particle Swarm Optimization (PSO) is a metaheuristic 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.
Date Issued
2018-01-11
Date Acceptance
2017-11-21
Citation
2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTING TECHNOLOGIES AND APPLICATIONS (ICECTA), 2018, pp.263-268
Publisher
IEEE
Start Page
263
End Page
268
Journal / Book Title
2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTING TECHNOLOGIES AND APPLICATIONS (ICECTA)
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000430335800056&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Task Scheduling
Particle Swarm Optimization
Cloud Computing
multi-objective optimization
ALGORITHM
PSO
ENVIRONMENT
Publication Status
Published
Start Date
2017-11-21
Finish Date
2017-11-23
Coverage Spatial
Ras Al Khaimah, U ARAB EMIRATES
Date Publish Online
2018-01-11