Big Data Research ›› 2015, Vol. 1 ›› Issue (1): 17-26.doi: 10.11959/j.issn.2096-0271.2015.01.002

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Reviewing Big Data Computation from a System Perspective

Weiming Zheng   

  1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
  • Revised:2016-05-06 Online:2015-05-20 Published:2020-09-28
  • Supported by:
    The National Basic Research Program of China(973 Program)(2014CB340402);The National Natural Science Foundation of China(61170008，61272055)

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Abstract:

Big data computing is a necessary way to acquire the “great value” behind the big data, and a computing system is an effective tool for big data computing. Big data computing from a system perspective was reviewed. Based on the fact that big data has the macro characteristics of huge volume, growing fast, complex structure, and quality disparity, the typical features of big data computing by analyzing batch computing, stream computing, and graph computing respectively, were discussed. These features may bring technical challenges to the design and implementation of big data computing system. The related works for overcoming these challenges were further categoried. In the end, some prospective research directions of big data computing from the system perspective were listed.

Key words: big data computing, batch computing, stream computing, graph computing, system instance

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