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Distributed streaming query planner in Calder system

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3 Author(s)
Ying Liu ; Dept. of Comput. Sci., Indiana Univ., IN, USA ; Plale, B. ; Vijayakumar, N.

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.

Published in:

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

Date of Conference:

24-27 July 2005