Optimizing Timeliness and Cost in Geo-Distributed Streaming Analytics

被引：0
|
作者：
Heintz, Benjamin [1 ,3 ]
Chandra, Abhishek [1 ]
Sitaraman, Ramesh K. [2 ,4 ]
机构：
[1] Department of Computer Science and Engineering, University of Minnesota, Minneapolis,MN, United States
[2] Department of Computer Science, University of Massachusetts, Amherst,MA, United States
[3] Facebook, Menlo Park,CA,94025, United States
[4] Akamai Technologies, Cambridge,MA,02142, United States
来源：
IEEE Transactions on Cloud Computing | 2020年 / 8卷 / 01期
基金：
美国国家科学基金会;
关键词：
Distributed data analytics - Distributed streaming - Hub and spoke models - Off-line algorithm - On-line algorithms - Resource management - Stream computing - System configurations;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
37
引用
收藏
页码：232 / 245
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