Title: A novel bio-inspired approach for VM load balancing and efficient resource management in cloud

Authors: Purshottam J. Assudani; P. Balakrishnan

Addresses: School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India; Information Technology Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India ' School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

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.

Keywords: bio-inspired algorithms; cloud manager; VM load balancing; scheduling of resources; resource utilisation; dynamic resource allocation; service level agreement; SLA; inventive particle swarm optimisation; IPSO; merge sort with divide and conquer; MSDC.

DOI: 10.1504/IJAHUC.2022.123541

International Journal of Ad Hoc and Ubiquitous Computing, 2022 Vol.40 No.1/2/3, pp.214 - 224

Received: 06 Mar 2021
Accepted: 31 Mar 2021

Published online: 27 Jun 2022 *

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