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A Survey on Distributed Databases Fragmentation, Allocation and Replication Algorithms

机译:分布式数据库碎片,分配和复制算法研究

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Due to the huge amount of computer data stored in databases, one centralized database cannot support and provide good performance and availability when contains huge data which used by large number of users. Thus, the distributed database is a good technique to overcome this problem by fragmenting the database and allocating the right database fragmentation in the right site. Many researches present static optimized algorithms of distributed database fragmentation, allocation and replication (Horizontal/ Vertical) at the initial stage of the distributed database design using different or similar techniques, which affect the performance of database system. Therefore, this study aims at reviewing and comparing the best-presented algorithms from the design perspective, with the aim of identifying the strength and weakness points of each algorithm.? Furthermore, this study could be considered as the first study that attempts to identify the most critical criteria that were used for comparing the optimized algorithms that have been proposed and used in distributed database fragmentation and allocation.
机译:由于存储在数据库中的大量计算机数据,当包含大量用户使用的海量数据时,一个集中式数据库无法支持并提供良好的性能和可用性。因此,分布式数据库是一种很好的技术,可以通过对数据库进行分段并在正确的站点中分配正确的数据库分段来解决此问题。许多研究提出了在分布式数据库设计的初始阶段使用不同或相似的技术对分布式数据库的碎片,分配和复制(水平/垂直)进行静态优化的算法,这些算法会影响数据库系统的性能。因此,本研究旨在从设计的角度审查和比较最佳的算法,以识别每种算法的优缺点。此外,该研究可以被认为是尝试确定最关键标准的第一项研究,该标准用于比较已提出并在分布式数据库分段和分配中使用的优化算法。

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