PERFORMANCE ANALYSIS OF CLOUD COMPUTING SERVICES FOR                 MANY-TASKS SCIENTIFIC COMPUTINGOBJECTIVE:      The ma...
ABSTRACT:      The leading trend for service infrastructures in the IT domain is called cloudcomputing, a style of computi...
EXISTING SYSTEM:      Recently, cloud computing has found its way into the provision of webservices. Information, as well ...
solution allows long-term profit maximization, and dynamic calibration to theactual behavior of the cloud application. The...
CLOUD           USER                                     DIVITIONS                                CLOUD                   ...
–     Intel Pentium IV            –     256/512 MB RAM            –     1 GB Free disk space or greater            –     1...
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Psdot 18 performance analysis of cloud computing

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FINAL YEAR IEEE PROJECTS,
EMBEDDED SYSTEMS PROJECTS,
ENGINEERING PROJECTS,
MCA PROJECTS,
ROBOTICS PROJECTS,
ARM PIC BASED PROJECTS, MICRO CONTROLLER PROJECTS Z Technologies, Chennai

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Psdot 18 performance analysis of cloud computing

  1. 1. PERFORMANCE ANALYSIS OF CLOUD COMPUTING SERVICES FOR MANY-TASKS SCIENTIFIC COMPUTINGOBJECTIVE: The main role of this system as to analysis the performance of each andevery cloud and assign multiple tasks to highly performance cloud.PROBLEM STATEMENT: Recently, cloud computing has found its way into the provision of webservices. Information, as well as software is permanently stored in Internet serversand probably cached temporarily on the user side. The main issue is to get optimalservice pricing for a cloud cluster. There are two major challenges when trying todefine an optimal pricing scheme in the cloud cluster. The first is to define asimplified enough model of the price demand dependency, to achieve a feasiblepricing solution, but not oversimplified model that is not representative. Forexample, a static pricing scheme cannot be optimal if the demand for services hasdeterministic seasonal fluctuations. The second challenge is to define a pricingscheme that is adaptable to (i) modeling errors, (ii) time-dependent modelchanges, and (iii) stochastic behavior of the application. Z Technologies www.ztech.in info@ztech.in call : 91760 91765
  2. 2. ABSTRACT: The leading trend for service infrastructures in the IT domain is called cloudcomputing, a style of computing that allows users to access information services.Cloud providers trade their services on cloud resources for money. The quality ofservices that the users receive depends on the utilization of the resources. Theoperation cost of used resources is amortized through user payments. Cloudresources can be anything, from infrastructure (CPU, memory, bandwidth,network), to platforms and applications deployed on the infrastructure. Cloud applications that offer data management services are emerging. Suchclouds support caching of data in order to provide quality query services. Theusers can query the cloud data, paying the price for the infrastructure they use.Cloud management necessitates an economy that manages the service of multipleusers in an efficient, but also, resource economic way that allows for cloud profit.Naturally, the maximization of cloud profit given some guarantees for usersatisfaction presumes an appropriate price-demand model that enables optimalpricing of query services. Optimal pricing is achieved based on a dynamic pricingscheme that adapts to time changes. This project proposes a novel price-demandmodel designed for a cloud cluster and a dynamic pricing scheme for queriesexecuted in the cloud cluster. Z Technologies www.ztech.in info@ztech.in call : 91760 91765
  3. 3. EXISTING SYSTEM: Recently, cloud computing has found its way into the provision of webservices. Information, as well as software is permanently stored in Internet serversand probably cached temporarily on the user side. The main issue is to get optimalservice pricing for a cloud cluster. There are two major challenges when trying todefine an optimal pricing scheme in the cloud cluster. The first is to define asimplified enough model of the price demand dependency, to achieve a feasiblepricing solution, but not oversimplified model that is not representative. Forexample, a static pricing scheme cannot be optimal if the demand for services hasdeterministic seasonal fluctuations.DISADVANTAGES:  Modeling Errors  Time-dependent model changes  Stochastic behavior of the applicationPROPOSED STATEMENT: We propose a multi-cloud service for an e-shopping application thatachieves optimal pricing for the products available in different cloud services (likeAmazon, eBay, etc) in a clustered environment. This work proposes a novelpricing scheme designed for a cloud cluster that offers inter-querying services andaims at the maximization of the cloud profit. We define an appropriate price-demand model and we formulate the optimal pricing problem. The proposed Z Technologies www.ztech.in info@ztech.in call : 91760 91765
  4. 4. solution allows long-term profit maximization, and dynamic calibration to theactual behavior of the cloud application. The cloud services are interconnectedusing AJAX Cloud Platform.ADVANTAGES:  High Performance  Privacy Data Sharing  Fast Access  Reduce TimeALGORITHM USED: 1. A-Priori Algorithm 2. Priority Scheduling 3. COCOMO IIARCHITECTURE DIAGRAM: Z Technologies www.ztech.in info@ztech.in call : 91760 91765
  5. 5. CLOUD USER DIVITIONS CLOUD DETAILS ABOUT USER ACCESS SYSTEM DETAILS ABOUT COST DETAILSSYSTEM REQUIREMENTS: Software Requirements: – Platform - Windows 2000 and Above – Front End - C#.NET – Web Application - ASP.NET – Web Server - IIS 6.0 – Back End - SQL Server Hardware Requirements: Z Technologies www.ztech.in info@ztech.in call : 91760 91765
  6. 6. – Intel Pentium IV – 256/512 MB RAM – 1 GB Free disk space or greater – 1 GB on Boot Drive – 1 Network Interface Card (NIC)APPLICATIONS: 1. Organizations 2. Colleges 3. Banks Z Technologies www.ztech.in info@ztech.in call : 91760 91765

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