Task scheduling optimisation algorithm based on load balance under the cloud computing environment
by Shibiao Mu
International Journal of Applied Decision Sciences (IJADS), Vol. 11, No. 2, 2018

Abstract: In order to achieve an optimal task scheduling scheme with the constraint of load balance in cloud computing platform. We utilise the CloudSim simulator to construct the cloud computing environment, and CloudSim contains three components: 1) CloudSim core simulation engine; 2) CloudSim basic structure; 3) user codes. Afterwards, we propose a novel load balancing oriented task scheduling optimisation algorithm based on genetic algorithm, and task assignment results are obtained through analysing gene values of chromosomes. In order to ensure convergence rate in genetic algorithm, we design the fitness function by integrating computation time and computation cost together. Furthermore, we design adaptive crossover and mutation operations to promote the search efficiency. Finally, we conduct an experiment to demonstrate the performance of the proposed algorithm. The experimental results show that the proposed algorithm can achieve the goal of high level of load balance with lower calculation time and cost.

Online publication date: Tue, 03-Apr-2018

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 Applied Decision Sciences (IJADS):
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