An efficient tasks scheduling algorithm for batch processing heterogeneous cloud environment Online publication date: Mon, 05-Sep-2022
by Dhirendra Kumar Shukla; Divya Kumar; Dharmender Singh Kushwaha
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 23, No. 1/2, 2022
Abstract: The recent advancements in virtualisation technology have led to the exponential growth of cloud computing. The capability to provide services in the various communities such as research, business, etc. has accounted for its growing popularity. The tasks requested by various clients are allocated to the available resources. Makespan is the total time taken to process a set of tasks for its complete execution. The makespan reduction is the main objective of the scheduling in clouds. This paper proposes an approach for efficient scheduling of the tasks to the heterogeneous cloud data centre in order to minimise the makespan. The proposed approach achieves multiple objectives such as minimisation of overall makespan and maximisation of CPU utilisation. The proposed algorithm is tested on the benchmark dataset. Experiments reveal that the proposed algorithm reduces the overall makespan up to 24.69% as compared to other existing algorithms. Also, average resource utilisation increases up to 4.29%.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook