PSO optimised workflow scheduling and VM replacement algorithm using gaming concept in cloud data centre
by Raman Narayani; Wahab Aisha Banu
International Journal of Cloud Computing (IJCC), Vol. 12, No. 6, 2023

Abstract: The principal features of cloud computing are dynamic resource allocation and its pricing nature. This paper implies an algorithm that provides resources based on the demand to users in the cloud infrastructure as a service (IaaS) environment. This paper proposes an algorithm that optimises workflow scheduling and VM replacement algorithm using particle swarm optimisation with the gaming theory concept (GTPSO-WSP). It enhances system performance with metrics such as cost and makespan. The proposed algorithm in the cloud computing environment has two phases. In the first phase, the scheduler allocates the resources to the physical server based on a static scheduling algorithm. During the second phase, the proposed system applies the dynamic reconfiguration based on the GTPSO-WSP algorithm for reducing the cost and makespan of the workflow. In GTPSO-WSP, the multi-start method gives a solution to particle premature convergence. However, the experimental analysis in the WorkflowSim environment improves the makespan and monitory cost. The observed results indicate performance improvement of 4% in terms of makespan and 9% in terms of cost while comparing GTPSO-WSP with the traditional particle swarm optimisation (PSO) and Cuckoo search algorithm.

Online publication date: Fri, 03-Nov-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Cloud Computing (IJCC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com