Calder系统中的分布式流查询规划器

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI:10.1109/HPDC.2005.1520992

Y. Liu, Beth Plale, N. Vijayakumar

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引用次数: 1

摘要

这项工作的贡献有两个方面。首先，通过引入网络带宽成本、查询部署成本和查询重用成本，扩展了当前查询规划器的成本度量空间;其次，我们开发了一套算法，用于在不同场景下重用现有的查询片段。最重要的可重用查询之一称为结构共享查询。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Distributed streaming query planner in Calder system

The contribution of this work has two folds. First, we extend the current query planners' cost metric space by introducing network bandwidth cost, query deployment cost and query re-using cost; second, we develop a suite of algorithms for re-using existing query fragments under different scenarios. One of the most important reusable queries is called structure-sharable query.

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来源期刊

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005.

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