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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Optimal VM Placement Using Particle Swarm Optimization

[Full Text]

 

AUTHOR(S)

Puvvada Nagesh, Dr.N.Srinivasu, N.Sai Rama Ranganadh, J.Jayanth, A.Naveen

 

KEYWORDS

Virtual Machine Placement,Multiobjective Optimization, MOPSO,Memory Wastage,Power Consumption

 

ABSTRACT

In a distributed cloud computing, virtual machine placement became more demanding due to the compensation between multiple objectives. Placing a virtual machine on a similar physical machine will automatically mitigate goals such as memory loss, power consumption and latency of the network. It may have a negative impact on some other goal to maximize an objective. A multi-objective optimization problem is to find a solution where optimality is achieved for all objectives. The Multiobjective Optimization Algorithms have the potential to converge towards pareto-optimal solutionswith the development of the solutions. In this paper, multi-objective Virtual Machine placement problem is inscribed using MOPSO algorithm.The proposed algorithm was implemented as well as comparing the algorithm to the current multi-objective algorithms.Statistically, the results show that the MOPSO does better job than existing algorithms in the Virtual Machime distributed cloud placement.

 

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