分布式数据库系统中具有水平分区的非冗余动态片段分配

Nang Khine Zar Lwin, Tin Myint Naing
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引用次数: 10

摘要

分布式数据库的主要任务是如何将全局数据库分割成小的片段,如何在网络上的不同站点之间分配和复制这些片段。采用最佳的分片、分配和复制方式可以提高分布式数据库系统的性能。动态片段分配技术提供了许多环境,其中来自多个位置的不同站点对片段的访问模式随时间而变化。本文提出了一种分布式数据库系统中非冗余动态分片分配方法,该方法将读写数据量因子修改为阈值时间体积和距离约束算法。该方法根据对每个片段的访问模式对片段进行重新分配,使数据量达到时间约束和阈值。当多个站点同时符合碎片的条件时,必须考虑写数据量用于重新定位过程。该算法将提高分布式数据库系统的整体性能。
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Non-Redundant Dynamic Fragment Allocation with Horizontal Partition in Distributed Database System
The main task of distributed database is how to fragment the global database into small fragments, how to allocate and replicate the fragments among different sites over the network. The performance of the distributed database system can be increased according to the best way of fragmentation, allocation and replication. Dynamic fragment allocation technique provides many environments where access patterns of different sites from multiple locations made to fragment change over time. This paper proposes an approach for non-redundant dynamic fragment allocation in distributed database system which additionally modified read and write data volume factor to Threshold Time Volume and Distance Constraints Algorithm. The proposed approach reallocates fragments with respect to the access patterns made to each fragments with amount of data volume up to time constraint and threshold value. The write data volume has to be considered for relocation process when more than one site simultaneously qualifies for the fragment. This algorithm will improve the overall of distributed database system performance.
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