Submodularity of Distributed Join Computation-Reference-Cited by-同舟云学术

Submodularity of Distributed Join Computation

Published:2018-05-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Management of Data
language:
Short-container-title:

Author:

Li Rundong¹,Riedewald Mirek¹,Deng Xinyan¹

Affiliation:

1. Northeastern University, Boston, MA, USA

Funder

NIH

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3183713.3183728

Reference43 articles.

1. Optimizing joins in a map-reduce environment

2. Paul Beame Paraschos Koutris and Dan Suciu. 2014. Skew in parallel query processing. In PODS. 212--223. 10.1145/2594538.2594558 Paul Beame Paraschos Koutris and Dan Suciu. 2014. Skew in parallel query processing. In PODS. 212--223. 10.1145/2594538.2594558

3. Spyros Blanas Jignesh M Patel Vuk Ercegovac Jun Rao Eugene J Shekita and Yuanyuan Tian. 2010. A comparison of join algorithms for log processing in mapreduce SIGMOD. 975--986. 10.1145/1807167.1807273 Spyros Blanas Jignesh M Patel Vuk Ercegovac Jun Rao Eugene J Shekita and Yuanyuan Tian. 2010. A comparison of join algorithms for log processing in mapreduce SIGMOD. 975--986. 10.1145/1807167.1807273

4. Advanced join strategies for large-scale distributed computation

5. Shumo Chu Magdalena Balazinska and Dan Suciu. 2015. From theory to practice: Efficient join query evaluation in a parallel database system. In SIGMOD. 63--78. 10.1145/2723372.2750545 Shumo Chu Magdalena Balazinska and Dan Suciu. 2015. From theory to practice: Efficient join query evaluation in a parallel database system. In SIGMOD. 63--78. 10.1145/2723372.2750545

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