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大数据流式计算系统研究综述
摘    要:互联网产业的迅速发展在带来数据规模爆炸式增长的同时,也使大数据呈现出越发鲜明的流式特征,传统的基于MapReduce的批处理模式难以满足流式大数据处理对于计算实时性的要求,因此,更为高效的流式计算系统得到了越来越广泛的应用。首先介绍了流式大数据的相关概念和特征,并对几类典型的流式计算系统实例进行了介绍和比较,分析了它们的系统架构、性能特点以及主要应用场景。最后总结并展望了大数据分析处理技术的发展前景。

关 键 词:大数据  流式计算  任务拓扑  系统架构

Review of Big Data Stream Computing System Study
Abstract:With the rapid development of the Internet industry, the data scale grows bigger and bigger. At the same time, big data also shows distinct streaming characteristics. Traditional batch data processing mode based on MapReduce becomes unable to meet the demand of streaming data processing. Therefore, the more efficient specialized stream computing systems is used more and more widely. Firstly, this paper introduces the basic concepts and characteristics of stream big data, compares several typical streaming data processing solutions, and analyzes their system architecture, performance and application scenarios. Finally, the future work on big data processing technology is discussed.
Keywords:big data  stream computing  task topology  system architecture
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