optimal price - copy
TRANSCRIPT
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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.
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Query Execution Module
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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
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Hardware Requirements
System : Pentium IV 2.4 GHz. Hard Disk : 40 GB.
Monitor : LCD.
RAM : 512 Mb.
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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