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Simulation and analysis of performance prediction in Distributed Database design using OO approach

机译:面向对象的分布式数据库设计中性能预测的仿真与分析

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Distributed databases have become necessity in the organizations, as applications are require data locally rather than remote locations. It is important to place data where the applications are required to process data. Data fragmentation and placement becomes a critical performance issue in Distributed Database design that has to be placed at different sites based on the usage of data. The performance of the application would become assessed and improved if it is properly fragment and allocate data during early design stages. In this paper, we proposed an algorithm by performing vertical fragmentation technique for the Distributed Database design for assessing the performance during early design stages. We simulated the algorithm with the case study. We used the proposed algorithm, Attribute Usage Matrix, and Random Number Generation technique for generating the values of Request Query, Arrival of Request, and Query generation. The Simulation results which helps the DBA to assess the performance of the proposed Distributed Database Design. The tool which helps the DBA to select the optimum design.
机译:分布式数据库已成为组织中的必要条件,因为应用程序需要本地而不是远程位置的数据。将数据放置在需要应用程序处理数据的位置很重要。数据碎片和放置成为分布式数据库设计中的关键性能问题,必须根据数据的使用将它们放置在不同的位置。如果在早期设计阶段适当地分割并分配数据,则该应用程序的性能将得到评估和提高。在本文中,我们为分布式数据库设计提出了一种通过执行垂直分段技术的算法,以评估设计初期的性能。我们通过案例研究对算法进行了仿真。我们使用提出的算法,属性使用矩阵和随机数生成技术来生成请求查询,请求到达和查询生成的值。仿真结果有助于DBA评估建议的分布式数据库设计的性能。帮助DBA选择最佳设计的工具。

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