A Survey of PSO-Based Scheduling Algorithms in Cloud Computing

Cloud computing provides effective mechanisms for distributing the computing tasks to the virtual resources. To provide cost-effective executions and achieve objectives such as load balancing, availability and reliability in the cloud environment, appropriate task and workflow scheduling solutions a...

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Vydané v:Journal of network and systems management Ročník 25; číslo 1; s. 122 - 158
Hlavní autori: Masdari, Mohammad, Salehi, Farbod, Jalali, Marzie, Bidaki, Moazam
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.01.2017
Springer Nature B.V
Predmet:
Algorithms
Classification
Cloud computing
Communications Engineering
Computer Communication Networks
Computer engineering
Computer Science
Computer Systems Organization and Communication Networks
Cost analysis
Function words
Heuristic
Information Systems and Communication Service
Load
Networks
Objectives
Operations Research/Decision Theory
Optimization
Optimization techniques
Population
Property
Reliability
Scheduling
Software services
Swarm intelligence
Systems management
Task scheduling
Tasks
Velocity
Workflow
Task
Workflow
SLA
Makespan
Meta-heuristic
Load balancing
PSO
Cost
ISSN:1064-7570, 1573-7705
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Popis
Shrnutí:Cloud computing provides effective mechanisms for distributing the computing tasks to the virtual resources. To provide cost-effective executions and achieve objectives such as load balancing, availability and reliability in the cloud environment, appropriate task and workflow scheduling solutions are needed. Various metaheuristic algorithms are applied to deal with the problem of scheduling, which is an NP-hard problem. This paper presents an in-depth analysis of the Particle Swarm Optimization (PSO)-based task and workflow scheduling schemes proposed for the cloud environment in the literature. Moreover, it provides a classification of the proposed scheduling schemes based on the type of the PSO algorithms which have been applied in these schemes and illuminates their objectives, properties and limitations. Finally, the critical future research directions are outlined.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1064-7570
1573-7705
DOI:10.1007/s10922-016-9385-9