Big Data Research ›› 2015, Vol. 1 ›› Issue (3): 99-105.doi: 10.11959/j.issn.2096-0271.2015032

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Big Data Stream Computing:Features and Challenges

Dawei Sun   

  1. School of Information Engineering,China University of Geosciences,Beijing 100083,China
  • Online:2015-06-20 Published:2020-09-28
  • Supported by:
    The China Postdoctoral Science Foundation Under Grant(2014M560976);The Fundamental Research Funds for the Central Universities Under Grant(2652015338)

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Abstract:

In big data era,the timeliness of data has become one of the most important factors,and the streaming feature of data has become more obvious.More and more applications need to be deployed in stream computing platforms.Big data stream computing as a major form of big data computing has become more and more important.The features of big data stream computing application were systematically analyzed.The principle strategies to build a big data stream computing system were given from the perspective of system architecture.Combined with some typical big data stream computing systems,some technology challenges in big data stream computing environments were focused,such as resource scheduling in online environments,fault tolerance strategy in node-dependence environments.

Key words: big data, stream computing, application feature, online scheduling, system fault tolerance

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