Title: An improved VM selection and allocation hybrid algorithm using grasshopper and firefly in cloud computing

Authors: Rachhpal Singh; Sarpreet Singh

Addresses: Department of Computer Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, India ' Department of Computer Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, India

Abstract: Cloud computing has emerged as a dynamic and resource-intensive domain, demanding innovative solutions to efficiently allocate and manage resources. In response, this paper introduces a pioneering optimisation algorithm that seamlessly integrates the Grasshopper Algorithm for virtual machine selection and the firefly algorithm (FA) for physical machine selection. The primary objective is to optimise critical quality of service parameters while effectively addressing challenges associated with service level agreement violation (SLA-V) and power consumption. Through a comprehensive series of rigorous evaluations, Grasshopper and FA consistently outperform existing solutions. The authors demonstrate significant reduction in SLA-V and power consumption, offering tangible benefits to cloud service providers. This work represents a promising advancement in cloud resource management, aligning with green computing initiatives and promising cost-saving opportunities.

Keywords: cloud computing; CC; resource allocation; grasshopper algorithm; firefly algorithm; FA; quality of service; QoS; SLA violation; power consumption; PC; optimisation; green computing; cost savings.

DOI: 10.1504/IJES.2024.144365

International Journal of Embedded Systems, 2024 Vol.17 No.3/4, pp.251 - 266

Received: 23 Feb 2024
Accepted: 24 Sep 2024
Published online: 10 Feb 2025 *