International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,February 2018,

Topic : A Resource Allocation Strategy using PSO in Heterogeneous Cloud

Authors:Neeraj Kumar Pandey || N.K.Joshi

Abstract:The most important problem in the cloud service provider is to maintain the elastic property of the cloud in such a way that user will pretend the cloud as limitless. So the challenge is how to make the limited sources unlimited. Every task must be granted what it requires by any mean otherwise it will degrade the performance of cloud. So resource allocation has a lot of solution. Resource allocation is an NP-hard problem so no particular solution can perform well always. But these kinds of problems are solved by nature in many ways such that such as ant colony optimization (ACO) algorithm, particle swarm optimization (PSO) algorithm and firefly algorithm. In this paper, a particle swarm optimization technique has been used to resolve the most critical problem of the cloud service provider at cloud data centre. This technique is basically taken from the collective and collaborative nature of the nature swarm. This technique can be used to allocate the resource to the task request by minimizing the makes span, flow time and task execution cost. The simulation and test results show the better efficiency than the other similar existing technique..

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DOI: 01.1617/vol5/iss2/pid62971


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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ARTICLES PUBLISHED:0521
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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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