摘要
数据时代的到来,使数据成为一种重要的战略资源。如何更好地利用这些数据,成为摆在政府、学者和工程师等人面前的一大难题。随着大数据和物联网的发展进步,数据量呈爆发式增长,随之而来的关于数据存储、计算和分析的问题急需解决。因此,主要对Spark Streaming和Flink两个流式计算模型进行对比研究,从原理、实现机制和使用场景等角度进行多维度对比分析,以期使用者能结合自己的业务场景,更好地选择适合的流式计算框架。
The advent of the data age has made data a very important strategic resource.How to make better use of this data has become a big problem for the government,scholars and engineers.With the development of big data and the Internet of Things,the amount of data has exploded,and the problems related to data storage,calculation and analysis are urgently needed to be solved.Therefore,the two streaming computing models,Spark Streaming and Flink,are mainly compared.This paper conducts a multi-dimensional comparative analysis from the perspectives of principles,implementation mechanisms,and usage scenarios,so that users can better choose a suitable streaming computing framework based on their own business scenarios.
作者
宋灵城
SONG Ling-cheng(College of Software Engineering,Southeast University,Suzhou Jiangsu 215000,China)
出处
《通信技术》
2020年第1期59-62,共4页
Communications Technology
