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Large Database Of Research And Application Of Distributed Management Strategy

Posted on:2013-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:J DingFull Text:PDF
GTID:2218330371460012Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Development of computer networks and the Cross-regional organization makes data storage and applications can no longer remain in the original centralized processing, Distributed database for large application in terms of reliability, scalability and response time have a greater advantage than the traditional centralized management. Distributed database scattered data in different database to manage. Although these data are physically distributed, but logically as a whole. Scattered data by reasonable can reduce the amount of data to access, reduce application response time and can independently maintain a database on the local, without affecting the entire system.In this paper, start with several key technologies of distributed database management, such as data fragmentation, data partitioning, data access, replication technology. Study the existing fragmentation framework and Oracle distributed database management technology. Propose a distributed management solution. In the background of the management system of shared Apparatus, design and implement a horizontal fragment based on the attribute that will scatter the data in multiple databases, implement a partitioning scheme based on the time that will decentralized data in a single database, implement a replication solutions based on a snapshot that will synchronization data between multiple databases, by providing multiple access and query interface, can use a single database or multiple databases in a distributed environment.Through the design and implementation, Maintain data consistency between multiple databases, reduce the load of the database in high-traffic, faster system response speed, ensuring application reliability and availability.
Keywords/Search Tags:Distributed Management, Data fragmentation, Data partition, Data Access, Replication
PDF Full Text Request
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