Chronological and exponential-based Lion optimisation for optimal resource allocation in cloud
by J. Devagnanam; N.M. Elango
International Journal of Grid and Utility Computing (IJGUC), Vol. 11, No. 5, 2020

Abstract: Cloud computing is a service-oriented architecture, which has a pool of resources. This paper introduces the resource allocation scheme for cloud computing by introducing an optimisation algorithm named Chronological E-Lion algorithm. The proposed Chronological E-Lion algorithm is developed by integrating the chronological concept to the EWMA-based Lion algorithm. The fitness function of the proposed Chronological E-Lion algorithm considers various parameters, like cost, profit, CPU allocation, memory allocation, MIPS, and frequency scaling, for optimally allocating the resources. The performance of the proposed method is analysed using three different problem instances based on the evaluation metrics, profit, CPU allocation rate, and memory allocation rate. From the simulation results, it can be concluded that the proposed Chronological E-Lion algorithm achieved improved performance with the values of 45.93, 0.16, and 0.0093, for profit, CPU utilisation rate, and memory utilisation rate.

Online publication date: Fri, 02-Oct-2020

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 Grid and Utility Computing (IJGUC):
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