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Hybrid Range Consistent Hash Partitioning Strategy -- A New Data Partition Strategy for NoSQL Database

机译:混合范围一致性哈希分区策略-NoSQL数据库的新数据分区策略

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摘要

With the development of Internet technology and Cloud Computing, more and more applications have to be confronted with the challenges of big data. NoSQL Database is fit to the management of big data because of the characteristics of high scalability, high availability, and high fault-tolerance. The data partitioning strategy plays an important role in the NoSQL database. The existing data partitioning strategies will cause some problems such as low scalability, hot spot, and low performance and so on. In this paper we proposed a new data partitioning strategy-HRCH, which can partitioning the data in a reasonable way. At last we use some experiments to verify the effectiveness of HRCH. It shows that HRCH can improve the system's scalability, avoid the hot spot problem as far as possible. At the same time it also can improve the parallel degree of processing, which can improve the system's performance in some processing.
机译:随着Internet技术和云计算的发展,越来越多的应用程序必须面对大数据的挑战。 NoSQL数据库具有高可伸缩性,高可用性和高容错性的特点,适合于大数据的管理。数据分区策略在NoSQL数据库中起着重要作用。现有的数据分区策略将引起一些问题,例如可伸缩性低,热点和性能​​低下等。在本文中,我们提出了一种新的数据分区策略HRCH,它可以合理地对数据进行分区。最后,我们通过一些实验验证了HRCH的有效性。结果表明,HRCH可以提高系统的可伸缩性,尽可能避免热点问题。同时还可以提高并行处理的程度,从而可以提高系统在某些处理中的性能。

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