Advancing Cloud Resource Management for Bio-inspired VM Placement with Harmony Search Algorithm

Abstract

Introduction: For the last several years, cloud computing has become a vital part of today's IT infrastructure, delivering instant and built-in resources for extensive computational requirements. However, managing resources in large cloud environments still poses one of the most significant challenges, as applications become larger and more complex.

Objectives: This often leads to poor resource utilization and high operational costs, as traditional methods fail to place VMs most efficiently. Unlike traditional algorithms, HSA imitates musicians' performances during improvisation in playing music to find better solutions.

Methods: It is a strong contender for handling complex optimization problems. This approach attempts to improve overall cloud resource management by increasing the adaptability and efficiency of VM placement through integrating bio-inspired principles. The new system has been successfully tested across a range of cloud scenarios, showing improved utilization and maximized energy savings.

Results: Experimental results demonstrate that the Harmony Search Algorithm provides the fastest convergence and advances solutions in comparison to existing methods.

Conclusions: These improvements in cloud resource management lead to enhanced performance and cost-efficiency, contributing to the long-term sustainability of cloud lifecycles overall.