Technology of Network & Communication
|
1174-1178

Communication optimization for large-scale cluster aiming MapReduce computing

Cao Yunpeng1,2
Wang Haifeng1,2
Liu Haitao1,2
He Shuqing1,2
1. School of Information Science & Engineering, Linyi University, Linyi Shandong 276000, China
2. Shandong Provincial Key Laboratory of Network-based Intelligent Computing, Linda Institute, Linyi Shandong 276000, China

Abstract

To optimize communication efficiency and reduce the data transmission of shuffle in large-scale clusters running for MapReduce jobs, this paper built a distributed collaborative data mapping model by replacing the communication locality using storage locality. Then it extracted the local features of jobs by random sampling and machine learning method in order to realize the effective deployment of map tasks. Finally, it selected the nodes with good communication links based on the software define network technology due to its global flexible control capabilities, and scheduled the map tasks to such nodes. Experimental results show that the model has better optimization effect on shuffle-intensive jobs. The communication delay is reduced by 4.3% to 5.8%. This solution can reduce shuffle traffic and data migration delay and it is suitable for various scheduling strategies and network topologies.

Foundation Support

山东省自然科学基金面上项目(ZR2017MF050)
山东省高等学校科学技术计划项目(J17KA049)
山东省重点研发项目(2019GGX1005,2018GGX101005,2017CXGC0701,2016GGX109001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0766
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Network & Communication
Pages: 1174-1178
Serial Number: 1001-3695(2020)04-047-1174-05

Publish History

[2020-04-05] Printed Article

Cite This Article

曹云鹏, 王海峰, 刘海涛, 等. 面向MapReduce计算的大规模集群通信优化 [J]. 计算机应用研究, 2020, 37 (4): 1174-1178. (Cao Yunpeng, Wang Haifeng, Liu Haitao, et al. Communication optimization for large-scale cluster aiming MapReduce computing [J]. Application Research of Computers, 2020, 37 (4): 1174-1178. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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