Multi Objective Optimization of Virtual Machine Migration Placement Based on Cloud Computing

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International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science, Software Engineering

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eISSN: 2470-8038

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VOLUME 2 , ISSUE 2 (June 2017) > List of articles

Multi Objective Optimization of Virtual Machine Migration Placement Based on Cloud Computing

Sun Hong * / Tang Qing / Xu Liping / Chen Shiping

Keywords : Cloud computing, Virtual machine migration, Multi objective optimization, Ant colony algorithm, Elimination method

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 2, Pages 120-129, DOI: https://doi.org/10.21307/ijanmc-2017-014

License : (CC BY-NC-ND 4.0)

Published Online: 09-April-2018

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ABSTRACT

How to improve the resource utilization of the cloud computing system has been one of the key content of the research of the cloud computing. The traditional multi-objective ant colony optimization was improved, studied the virtual machine live migration framework, combined with the elimination method to solve virtual machine migration and placement of multi-objective optimization problem, the load balanced specific strategies are integrated into the framework of a dynamic migration, simulation experiments are carried out and the conclusions are made for it. The algorithm can obtain the optimal solution through the continuous updating of pheromone. The main consideration is the Service level contract violation rate(S), Resource loss(W),Power consumption (P). Experimental results show that ,compared with the traditional heuristic method and genetic algorithm, the algorithm is advantageous to the parallel computation, and it’s able to achieve the optimal tradeoff and compromise between multiple conflicting objectives. In the case of service level contract violation rate is low, system resource waste and power consumption are at the least, so it has feasibility.

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