MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area

Author:

Zhao Yikai1,Zhang Yinda1,Li Yuanpeng1,Zhou Yi1,Chen Chunhui1,Yang Tong2,Cui Bin1

Affiliation:

1. Peking University, Beijing, China

2. Peking University & Peng Cheng Laboratory, Beijing, China

Funder

Key-Area Research and Development Program of Guangdong Province 2020B0101390001, National Natural Science Foundation of China (NSFC)

Publisher

ACM

Reference59 articles.

1. Source code related to algo. https://github.com/Arimase97/MinMax-Sampling. Source code related to algo. https://github.com/Arimase97/MinMax-Sampling.

2. Practical, Real-time Centralized Control for CDN-based Live Video Delivery

3. ChronoCache: Predictive and Adaptive Mid-Tier Query Result Caching

4. Rebecca Taft , Irfan Sharif , Andrei Matei , Nathan VanBenschoten , Jordan Lewis , Tobias Grieger , Kai Niemi , Andy Woods , Anne Birzin , Raphael Poss , Paul Bardea , Amruta Ranade , Ben Darnell , Bram Gruneir , Justin Jaffray , Lucy Zhang , and Peter Mattis . Cockroachdb : The resilient geo-distributed SQL database . In SIGMOD Conference 2020 , pages 1493 -- 1509 . ACM, 2020 . Rebecca Taft, Irfan Sharif, Andrei Matei, Nathan VanBenschoten, Jordan Lewis, Tobias Grieger, Kai Niemi, Andy Woods, Anne Birzin, Raphael Poss, Paul Bardea, Amruta Ranade, Ben Darnell, Bram Gruneir, Justin Jaffray, Lucy Zhang, and Peter Mattis. Cockroachdb: The resilient geo-distributed SQL database. In SIGMOD Conference 2020, pages 1493--1509. ACM, 2020.

5. Ashish Vulimiri , Carlo Curino , Philip Brighten Godfrey , Thomas Jungblut , Konstantinos Karanasos , Jitendra Padhye , and George Varghese . Wanalytics : Geo-distributed analytics for a data intensive world . In SIGMOD Conference 2015 , pages 1087 -- 1092 . ACM, 2015 . Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Konstantinos Karanasos, Jitendra Padhye, and George Varghese. Wanalytics: Geo-distributed analytics for a data intensive world. In SIGMOD Conference 2015, pages 1087--1092. ACM, 2015.

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