Front Inner Page - Volume 5 No.3 June 2018

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  • Title

    :

    A Game Theory based virtual allocation Mechnaim in cloud

    Authors

    :

    M.Ilakkiyavathi, J.RAGAVENTHIRAN M.E.,(PhD).,

    Keywords

    :

    Cloud system, data center, upload, download, ACO algorithm.

    Issue Date

    :

    June 2018

    Abstract

    :

    On-demand computing and the efficient service delivery are the major benefits in cloud systems. The availability of limited resources in single data centers leads to the difficulties in the relevant service delivery. The increase in resources will increase the cost. To overcome these limitation the proposed work is developed and it named as, a game theory based virtual allocation mechanism in cloud. Initially, the user selects the data which is stored in the server storage. Then the task is scheduled by using game theory algorithm and data broker data center broker can broke the data based on their host id, ram and bandwidth. The load balancing is used to balance the data. Finally the data is uploaded. In downloading process the data is viewed by the help of sending request in user task. Then the schedule task is performed and receive the request from user. Finally the data are downloaded from server storage. The proposed system has contained some advantages such as high accuracy, reduced processing time and server storage time. The proposed work is compared with existing Ant Colony Optimization (ACO) algorithm..

    Page(s)

    :

    1-7

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 5, No.3, June 2018

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