Mehul A. Shah, Joseph M. Hellerstein, Sirish Chandrasekaran, Michael J. Franklin  Home/Search
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Abstract: The long-running nature of continuous queries poses new scalability challenges for dataflow processing. CQ systems execute pipelined dataflows that may be shared across multiple queries. The scalability of these dataflows is limited by their constituent, stateful operators -- e.g. windowed joins or grouping operators. To scale such operators, a natural solution is to partition them across a shared-nothing platform. But in the CQ context, traditional, static techniques for partitioned... (Update)
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BibTeX entry: (Update)
M. Shah, J. Hellerstein, S. Chandrasekaran, and M. Franklin. Flux: An Adaptive Partitioning Operator for Continuous Query Systems. Technical Report CS-02-1205, U.C. Berkeley, 2002. http://citeseer.ist.psu.edu/article/shah02flux.html More
@misc{ shah02flux,
author = "M. Shah and J. Hellerstein and S. Chandrasekaran and M. Franklin",
title = "Flux: An Adaptive Partitioning Operator for Continuous Query Systems",
text = "M. Shah, J. Hellerstein, S. Chandrasekaran, and M. Franklin. Flux: An Adaptive
Partitioning Operator for Continuous Query Systems. Technical Report CS-02-1205,
U.C. Berkeley, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/article/shah02flux.html" }
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