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Optimal Service Pricing for a Cloud Cache Java Project

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Published on Jan 11, 2016

Optimal service pricing for a cloud cache
Abstract:
Cloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit.
Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services. The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes.
This paper proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in an time-efficient manner. The experimental study shows the efficiency of the solution.
Existing System:
Existing clouds focus on the provision of web services targeted to developers, such as Amazon Elastic Compute Cloud (EC2), or the deployment of servers, such as Go Grid. There are two major challenges when trying to define an optimal pricing scheme for the cloud caching service. The first is to define a simplified enough model of the price demand dependency, to achieve a feasible pricing solution, but not oversimplified model that is not representative.
A static pricing scheme cannot be optimal if the demand for services has deterministic seasonal fluctuations.

Proposed System:
The cloud caching service can maximize its profit using an optimal pricing scheme. Optimal pricing necessitates an appropriately simplified price-demand model and structures in the admin services. The pricing scheme should be adaptable to time changes. The users can query
the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services
Modules:
• Authentication module:
In this module the registration and login process is done. Every user must register with the cloud administrator. Then only the cloud administrator will send services to the user.
• User module:
In this module, after registration the user will perform some operations like view his/her details, view the resources, send request to the administrator about the resource cost. He can also view the details about cost.
• Admin module:
In this admin module the administrator will see the user details, and also allocate cost for the resources selected by the users. And send response to the users.
• Query Execution:
This module execution is done by admin based on the user entered resource details, the cost is optimised based on the user requirements like number of CPU’s used , bandwidth, memory etc…

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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    • Standard YouTube License

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