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- W2034408574 abstract "In this paper, we develop algorithms to achieve optimal processor allocation for pipelined hash joins in a multiprocessor-based database system. A pipeline of hash joins is composed of several stages, each of which is associated with one join operation. The whole pipeline is executed in two phases: (1) the table-building phase, and (2) the tuple-probing phase. We focus on the problem of allocating processors to the stages of a pipeline to minimize the query execution time. We formulate the processor allocation problem as a two-phase mini-max optimization problem, and develop three optimal allocation schemes under three different constraints. The effectiveness of our problem formulation and solution is verified through a detailed tuple-by-tuple simulation of pipelined hash joins. Our solution scheme is general and applicable to any optimal resource allocation problem formulated as a two-phase mini-max problem." @default.
- W2034408574 created "2016-06-24" @default.
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- W2034408574 date "1993-06-01" @default.
- W2034408574 modified "2023-09-25" @default.
- W2034408574 title "On optimal processor allocation to support pipelined hash joins" @default.
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- W2034408574 doi "https://doi.org/10.1145/170035.170053" @default.
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