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Replication Strategy for Spatiotemporal Data Based on Distributed Caching System

机译:基于分布式缓存系统的时空数据复制策略

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摘要

The replica strategy in distributed cache can effectively reduce user access delay and improve system performance. However, developing a replica strategy suitable for varied application scenarios is still quite challenging, owing to differences in user access behavior and preferences. In this paper, a replication strategy for spatiotemporal data (RSSD) based on a distributed caching system is proposed. By taking advantage of the spatiotemporal locality and correlation of user access, RSSD mines high popularity and associated files from historical user access information, and then generates replicas and selects appropriate cache node for placement. Experimental results show that the RSSD algorithm is simple and efficient, and succeeds in significantly reducing user access delay.
机译:分布式缓存中的复制策略可以有效减少用户访问延迟并提高系统性能。但是,由于用户访问行为和首选项的差异,开发适用于各种应用程序场景的复制策略仍然非常具有挑战性。本文提出了一种基于分布式缓存系统的时空数据复制策略。通过利用用户访问的时空局部性和相关性,RSSD从历史用户访问信息中挖掘高人气和相关文件,然后生成副本并选择适当的缓存节点进行放置。实验结果表明,RSSD算法简单高效,成功地减少了用户访问延迟。

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