System Development & Application
|
3043-3047

Research on efficient RDD self-cache replacement strategy in Spark

Wei Yun
Ding Yuchen
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

Due to the roughness of cache replacement mechanism in Spark parallel computing framework, LRU algorithm does not consider the RDD data block reuse problem that easily results in high-reuse block to swap out of the cache and execution inefficiency. By optimizing the weight model and improving the replacement strategy, this paper put forward ERAC cache stra-tegy, which could achieve efficient RDD autonomous cache and hierarchical replacement, included high-reuse self-caching algorithm and cache replacement hierarchical algorithm. Applied ERAC, RA and LRU in standard dataset of SNAP, experimental results show that ERAC can effective improve the memory utilization and task execution efficiency.

Foundation Support

国家自然科学基金资助项目(61170277,61472256)
上海市科委科研计划资助项目(16111107502)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0213
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: System Development & Application
Pages: 3043-3047
Serial Number: 1001-3695(2020)10-033-3043-05

Publish History

[2020-10-05] Printed Article

Cite This Article

魏赟, 丁宇琛. Spark中一种高效RDD自主缓存替换策略研究 [J]. 计算机应用研究, 2020, 37 (10): 3043-3047. (Wei Yun, Ding Yuchen. Research on efficient RDD self-cache replacement strategy in Spark [J]. Application Research of Computers, 2020, 37 (10): 3043-3047. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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