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Abstract: We present a technique that masks failures in a cluster to provide high availability and fault tolerance for long-running, parallelized dataflows. We can use these dataflows to implement a variety of CQ applications that require high-throughput, 24x7 operation. Examples include network monitoring tasks, phone call processing, click-stream processing, and online financial analysis. Our main contribution is a scheme that carefully integrates traditional query processing techniques for partitioned ... (Update)
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BibTeX entry: (Update)
@misc{ shah-highlyavailable,
author = "Mehul A. Shah and Joseph M. Hellerstein and Eric Brewer",
title = "Highly-Available, Fault-Tolerant, Parallel Dataflows",
url = "citeseer.ist.psu.edu/shah04highlyavailable.html" }
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