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A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing


Citation

Ramadhan, Mazen Farid Ebrahim and Latip, Rohaya and Hussin, Masnida and Abdul Hamid, Nor Asilah Wati (2020) A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing. Symmetry, 12 (4). art. no. 551. pp. 1-27. ISSN 2073-8994

Abstract

Cloud computing is an innovative technology that deploys networks of servers, located in wide remote areas, for performing operations on a large amount of data. In cloud computing, a workflow model is used to represent different scientific and web applications. One of the main issues in this context is scheduling large workflows of tasks with scientific standards on the heterogeneous cloud environment. Other issues are particular to public cloud computing. These include the need for the user to be satisfied with the quality of service (QoS) parameters, such as scalability and reliability, as well as maximize the end-users resource utilization rate. This paper surveys scheduling algorithms based on particle swarm optimization (PSO). This is aimed at assisting users to decide on the most suitable QoS consideration for large workflows in infrastructure as a service (IaaS) cloud applications and mapping tasks to resources. Besides, the scheduling schemes are categorized according to the variant of the PSO algorithm implemented. Their objectives, characteristics, limitations and testing tools have also been highlighted. Finally, further directions for future research are identified.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Institute for Mathematical Research
DOI Number: https://doi.org/10.3390/sym12040551
Publisher: MDPI
Keywords: Cloud computing; Cost; IaaS; Makespan; Particle swarm optimization; Quality of service; Reliability; Workflow scheduling
Depositing User: Nabilah Mustapa
Date Deposited: 04 May 2020 16:04
Last Modified: 04 May 2020 16:04
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/sym12040551
URI: http://psasir.upm.edu.my/id/eprint/38235
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