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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Details
Paper Title
EA Based Approach for Resource Allocation in Cloud Computing
Authors
  Robin Khunger,  Pawan Luthra,  Bindu Bala

Abstract
In Cloud Environment, the process of execution requires Resource Management due to the high process to the resource ratio. Resource Scheduling is a complicated task in cloud computing environment because there are many alternative computers with varying capacities. Scheduling is one of the most important tasks in cloud computing environment. In this paper, we have analyzed various scheduling algorithm and tabulated various parameter. We have noticed that disk space management is critical issue in virtual environment. Existing scheduling algorithm gives high throughput and cost effective but they do not consider reliability and availability. So we need algorithm that improves availability and reliability in cloud computing environment In the proposed approach the Evolutionary Algorithm is applied in this load sharing algorithm. Using the proposed approach a reserved resources are kept in order to tackle any kind of bursty traffic or bursty tasks. To validate the results of proposed approach various metrics are used like delay, delivery time, energy efficiency, throughput, down time etc. From the results section it is clear that the proposed approach is better than that of existing studies..

Keywords- Cloud, VM, Host, VM Placement Schemes
Publication Details
Unique Identification Number - IJEDR1702052
Page Number(s) - 309-314
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Robin Khunger,  Pawan Luthra,  Bindu Bala,   "EA Based Approach for Resource Allocation in Cloud Computing", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.309-314, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702052.pdf
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