Energy-Aware Virtual Machine Consolidation Algorithm Based on Ant Colony System

• Published in: Journal of grid computing Vol. 16; no. 3; pp. 477 - 491
• Main Authors: Aryania, Azra, Aghdasi, Hadi S., Khanli, Leyli Mohammad
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.09.2018; Springer Nature B.V
• Subjects: Algorithms; Ant colony optimization; Computer centers; Computer Science; Computer simulation; Consolidation; Data centers; Energy conservation; Energy consumption; Energy costs; Energy management; Environmental effects; Management of Computing and Information Systems; Migration; Processor Architectures; User Interfaces and Human Computer Interaction; Virtual environments; Workload; Energy consumption; Cloud computing; Virtual machine migration; Virtual machine consolidation; Ant colony system
• ISSN: 1570-7873; 1572-9184
• DOI: 10.1007/s10723-018-9428-4

Energy consumption has become a critical issue for data centers due to energy-associated costs and environmental effects. In this paper, we propose a new algorithm based on Ant Colony System to solve Virtual Machine Consolidation problem aims to save the energy consumption of cloud data centers. We consider the energy consumption during VMs migration as one of the primary factors which have not considered in the similar conventional algorithms. It significantly reduces the number of migrations and the active physical machines that result in the reduction of total energy consumption of data centers. The simulation results on the random workload in different scenarios demonstrate that the proposed algorithm outperforms the state-of-the-art VM Consolidation algorithm with regards to the number of migrations, number of sleeping PMs, number of SLA Violations, and energy consumption.