Content-based load balancing of tasks using task clustering for cost optimisation in cloud computing environment
by Kaushik Sekaran; P. Venkata Krishna
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 21, No. 1/2, 2022

Abstract: Cloud computing is the recent mantra for all the techies and internet users all around the world. The power of cloud computing is enormous as it provides big services in an optimal cost as well as in a reliable manner. Load balancing of tasks in the cloud server is an important issue to be addressed. In this paper, we propose a task clustering algorithm to minimise the load across the cloud servers through content-based load balancing of tasks using task clustering methods and cost reduction method for optimal energy consumption at all the cloud data centre heads. The results analysed in our paper are better when compared with existing content-based load balancing models. Our approach clearly represents the achievement of optimal load balancing of tasks with respect to upload bandwidth utilisation, minimal latency and some other quality of service (QoS) metrics.

Online publication date: Wed, 23-Feb-2022

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 Advanced Intelligence Paradigms (IJAIP):
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