A novel bio-inspired approach for VM load balancing and efficient resource management in cloud
by Purshottam J. Assudani; P. Balakrishnan
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 40, No. 1/2/3, 2022

Abstract: In cloud, balancing the load on virtual machines (VMs) and efficient utilisation of resources is very crucial and challenging, which becomes complex due to heterogeneous nature of VMs and user's tasks in distributed environment. To maintain the service quality, it is mandatory that users' tasks should be scheduled efficiently with immediate response, while satisfying QoS needs mentioned in service level agreement (SLA). Concerning these issues, researchers have designed bio-inspired algorithms to solve optimisation problems for resource scheduling. In this paper, we have proposed a bio-inspired method namely inventive particle swarm optimisation (IPSO), which not only schedules user's task efficiently, but also uniformly distributes the load among different VMs. Additionally, we have also designed another algorithm named as merge sort with divide and conquer (MSDC) approach to allocate the resources in cloud dynamically in an efficient manner. The experimentation is done on CloudSim simulator, which shows that proposed algorithms give better response time, VM utilisation and execution time.

Online publication date: Mon, 27-Jun-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 Ad Hoc and Ubiquitous Computing (IJAHUC):
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