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Design And Achievement Of Data Fragment And Download Service System For Collaborative SaaS Platform Of Industry Chain

Posted on:2015-01-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2268330428976633Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Recent years, with the information technology rocketing, industries rely on heavier and heavier on information-based. As a result, the competitive pattern of the automobile industry market changes. Software as a Service pattern take the advantage of the traits from the network technology and resource sharing to guarantee middle and small-sized enterprises information-based effectively. Meanwhile, competition among enterprises becomes the rivalry among clusters of industry for the sake of adjusting themselves to social development.SaaS service platform of the automobile industry chain provides the middle and small-sized enterprises with the third public service platform, improving levels of information-based industry and enhancing interaction among clusters of industry. Over8000enterprises register on the platform so as to bring enterprise groups convenient service, producing lots of data every day. The data on the platform should be classified and tackled regularly and the data should be both copied from the online data base and stored in many an off-line server in order to improve system’s function.As for the demands for archiving data on the automobile industry chain collaboration SaaS platform and operating data from cooperative business enterprisers, solutions to data service on the automotive industry chain collaboration SaaS platform has been put forward as the followings.In the first place, the thesis analyzes features of data storage on the industrial chain collaboration the SaaS platform and proposes demands of data service from cooperative enterprises under the circumstance of the industrial chain, establishing data model segmenting based on collaborative relationship between enterprise groups.Next, according to the various operation demands from cooperative enterprises on the SaaS platform, two kinds of different data separation mechanism are established. When filing data in the platform database, the data fragmentation regulations are loaded automatically to separate data. For another thing, if the cooperative enterprise users apply for loading of data, data fragmentation will be completed under the drive of the data fragmentation regulations.Then, for the sake of guarantee the safety in the procession of transmitting data, the thesis adopts hybrid encryption to encrypt the downloaded data of enterprises. Only by decoding the data with their own keys can enterprises check information.At last, client side is designed and achieved to make sure it is convenient for enterprise users to check data. The data files are restored to table formats, which includes two aspects. The one is generating interface automatically, and the other is showing the data content.Data model segmenting, fragmentation rules and correlational computation as well as functions proposed in the thesis undergo integration and verification combined with after-sales service system of the automobile industry chain collaboration SaaS platform. Practical applications show that the system is capable of meeting demands of loading data and localization from cooperative enterprises under the circumstance of central storage and regular filing of data on the SaaS platform.
Keywords/Search Tags:Industrial chain collaboration, Software-as-a-Service, Data Service, fragmentation, security
PDF Full Text Request
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