An Optimal Ant Colony Algorithm for Efficient VM Placement

V  Ashwin Kumar Sarma; Rahul Rajendra; P  Dheepan and K S  Sendhil Kumar nbsp

doi:10.17485/ijst/2015/v8iS2/60286

Article

An Optimal Ant Colony Algorithm for Efficient VM Placement

VIEWS 715
PDF 288

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8iS2/60286

Year: 2015, Volume: 8, Issue: Supplementary 2, Pages: 1-4

Original Article

An Optimal Ant Colony Algorithm for Efficient VM Placement

V. Ashwin Kumar Sarma^* , Rahul Rajendra, P. Dheepan and K.S. Sendhil Kumar

VIT University, Vellore, Tamil Nadu; [email protected], [email protected], [email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The process of mapping virtual machines to physical machines is known as virtual machine placement. In cloud computing environment optimal placement plays an important role for the improvement in power efficiency and resource utilization. In this paper, we study the Ant Colony optimisation and Multi-Objective Genetic Algorithm for the virtual machine placement problem. We propose an algorithm that combines both multi-objective algorithm and ant colony optimization. We also have designed an architecture for the proposed system. The algorithms were tested using some instances from the literature.
Keywords: ACO, Genetic Algorithm, IaaS, PaaS, SaaS, VM Placement.