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    3/12/2012

    A

    Main project seminar

    On

    OPTIMAL SERVICE PRICING FOR A CLOUD CACHEBy

    S.V.Phaneendra 08701A05B0

    N.Pratap 08701A0564

    P.Sumanth 08701A05A3

    S.Rohia Munavar 08701A0573C.Swathi 08701A05A4

    Under the esteemed guidance of

    M.RUDRA KUMAR , M.Tech,Associate Professor,

    Department of CSE

    Annamacharya Institute of Technology and Sciences

    (An Autonomous Institution)

    1Dept. of CSE

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    ABSTRACT

    The users can query the cloud data, paying theprice for the infrastructure they use.

    Optimal pricing is achieved based on a dynamicpricing scheme that adapts to time changes.

    3/12/2012 2Dept. of CSE

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    Existing SystemExisting clouds focus on the provision of web services

    targeted to developers, such as Amazon, ElasticCompute Cloud (EC2).

    There are two major challenges when trying to define anoptimal pricing scheme for the cloud caching service.

    Limitations

    There is no simplified enough model of the pricedemand dependency.

    A static pricing scheme cannot be optimal if thedemand for services has deterministic seasonal

    fluctuations.3/12/2012 3Dept. of CSE

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    Proposed SystemThe cloud caching service can maximize its profit using

    an optimal pricing scheme.

    The pricing scheme should be adaptable to time changes.

    Benefits Novel demand-pricing model designed for cloud

    caching services. An efficient solution to the pricing problem, based on

    non-linear programming adaptable to time changes.

    3/12/2012 4Dept. of CSE

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    Modules:

    User module

    Admin module

    Query Execution

    Optimal Pricing

    3/12/2012 5Dept. of CSE

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    User ModuleThe users can query the cloud data, paying the price for

    the infrastructure they use.

    Admin ModuleThe admin can allocate the resources according to

    users specified.Decides the price for the resources used.

    3/12/2012 6Dept. of CSE

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    Query Execution Module

    3/12/2012 7Dept. of CSE

    Service of queries is performed by executing them

    either in the cloud cache or in the back-end database.Query performance is measured in terms ofexecution time.

    Optimal Pricing ModuleAssigning best cost for the resources.

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    Software Requirements

    Operating System : Windows XP/2003 server

    Front end : JSP, Servlets, JDBC

    Back end : mysql

    Other applications : Apache Tomcat Web Server

    3/12/2012 8Dept. of CSE

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    Hardware Requirements

    System : Pentium IV 2.4 GHz. Hard Disk : 40 GB.

    Monitor : LCD.

    RAM : 512 Mb.

    3/12/2012 9Dept. of CSE

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    Conclusion

    Maximizes the cloud profit and incorporates theobjective for user satisfaction.

    Optimal Pricing is achieved by Novel price-demand model.

    3/12/2012 10Dept. of CSE

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    11/113/12/2012 11Dept. of CSE