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Segment access-aware dynamic semantic cache in cloud computing environment

机译:云计算环境中的分段访问感知​​动态语义缓存

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摘要

In recent years, researches focus on addressing the query bottleneck issue using semantic cache. However, the challenges of this method are how to increase cache hit ratio, decrease the query processing time, and address cache consistency issue. In this paper, we construct segment access-aware dynamic semantic cache for relational databases. Some definitions of semantic segment, probe query, and remainder query are proposed to describe the semantic cache. Then, estimation of the query result is proposed. Next, cache access algorithm of our proposed segment access-aware dynamic semantic cache is presented in case of cache exact hit, cache extended hit, cache partial hit and cache miss. Cache item with effective lifecycle tag is proposed to address cache consistency issue. Finally, experimental results show that this approach performs better than regular semantic cache and decisional semantic cache.
机译:近年来,研究集中在使用语义缓存解决查询瓶颈问题上。但是,此方法的挑战在于如何提高缓存命中率,减少查询处理时间以及解决缓存一致性问题。在本文中,我们为关系数据库构造了可感知分段访问的动态语义缓存。提出了语义段,探针查询和余数查询的一些定义来描述语义缓存。然后,提出了查询结果的估计。接下来,在高速缓存精确命中,高速缓存扩展命中,高速缓存部分命中和高速缓存未命中的情况下,提出了我们提出的分段访问感知​​动态语义高速缓存的高速缓存访​​问算法。提出了具有有效生命周期标签的缓存项,以解决缓存一致性问题。最后,实验结果表明,该方法比常规语义缓存和决策语义缓存性能更好。

著录项

  • 来源
    《Journal of Parallel and Distributed Computing》 |2017年第12期|42-51|共10页
  • 作者单位

    Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China;

    Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China;

    School of Computer Science and Technology, Shandong University, Jinan 250101, China;

    Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Semantic cache; Data consistency; Cache hit; Cache miss;

    机译:语义缓存;数据一致性;缓存命中;快取未命中;

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