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Research On Framework Of E-commerce Trades Platform Based On Cloud Computing

Posted on:2013-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:D P TaoFull Text:PDF
GTID:2248330377960662Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Along with the development of the economy and culture, new consumption patternsgradually be accepted by people.Affected by this, e-commerce market is becoming unusualfiery, many companies are benefiting from it. However, due to traditional enterprise ITapplication foundation is weak in china, the supporting service system is not perfect; datafrom the e-commerce trades is particularly large and with strong sudden and concurrentcharacteristics, at the same time, it’s data structure is especially complex, need ane-commerce platform whitch can provide the sustainable, stable and efficient service tomanage mass information. Therefore, if an enterprise begins to develop their owne-commerce activities, shall be put into higher construction and maintenance costs. But asthe cloud computing technology rapid development and cloud computing conceptcontinuously thorough popular feeling, the low cost, high efficiency characteristics of cloudcomputing services brings opportunities to the enterprises in developing e-commerce.This paper first analyzed the situation and trend of our country’s e-commercedevelopment, and the problems that enterprises build their own E-commerce trade platformneed to face,then reviewed cloud computing and its application in E-commerce. Secondlythis paper did a deep research on Google GAE cloud computing platform, and integratedpopular Java frame to the platform, constructed the Struts2+Spring+JDO framework basedon GAE. Then gave the solutions to solve the issues of security and order processing intrading activities. Finally, developed the E-commerce trading system of FXOH using theE-commerce trading platform framework based on cloud computing constructed before.
Keywords/Search Tags:cloud computing, E-commerce, trades platform, GAE
PDF Full Text Request
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