Dagstuhl seminar on big stream processing

被引：0
|
作者：
Sakr S. [1 ]
Rabl T. [2 ]
Hirzel M. [3 ]
Carbone P. [4 ]
Strohbach M. [5 ]
机构：
[1] Sakr, Sherif
[2] Rabl, Tilmann
[3] Hirzel, Martin
[4] Carbone, Paris
[5] Strohbach, Martin
来源：
| 2018年 / Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States卷 / 47期
基金：
欧盟地平线“2020”;
关键词：
D O I：
10.1145/3316416.3316426
中图分类号：
学科分类号：
摘要：
Stream processing can generate insights from big data in real time as it is being produced. This paper reports findings from a 2017 seminar on big stream processing, focusing on applications, systems, and languages. © 2018 Association for Computing Machinery.
引用
收藏
页码：36 / 39
页数：3
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