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Worst-Case Optimal Algorithms for Parallel Query Processing

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14 March 2016


Worst-Case Optimal Algorithms for Parallel Query Processing

Abstract

In this paper, we study the communication complexity for the problem of computing a conjunctive query on a large database in a parallel setting with p servers. In contrast to previous work, where upper and lower bounds on the communication were specified for particular structures of data (either data without skew, or data with specific types of skew), in this work we focus on worst-case analysis of the communication cost. The goal is to find worst-case optimal parallel algorithms.

References

  • Paraschos Koutris, et. al, Worst-Case Optimal Algorithms for Parallel Query Processing, 19th International Conference on Database Theory (ICDT 2016)

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