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Abstract: Scientific applications require processing highvolume on-line streams of numerical data from instruments and simulations. We present an extensible stream database system that allows scalable and flexible continuous queries on such streams. Application dependent streams and query functions are defined through an object-relational model. Distributed execution plans for continuous queries are described as high-level data flow distribution templates. (Update)
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BibTeX entry: (Update)
@misc{ ivanova-customizable,
author = "Queries Milena Ivanova",
title = "Customizable Parallel Execution of Scientific Stream",
url = "citeseer.ist.psu.edu/741527.html" }
Citations (may not include all citations):191 Introduction to Parallel Computing (context) - Kumar, Grama et al. - 1994 ACM
75 Continuously adaptive continuous queries over streams - Madden, Shah et al. - 2002 ACM DBLP
71 Monitoring streams: A new class of data management applicati.. (context) - Carney, etintemel et al. - 2002
47 Principles of Distributed Database Systems (context) - Ozsu, Valduriez - 1999 ACM
45 Gigascope: A stream database for network applications (context) - Cranor, Johnson et al. - 2003 DBLP
32 and resource management in a data stream management system (context) - Motwani, Widom et al. - 2003
26 Volcano - an extensible and parallel query evaluation system (context) - Graefe - 1994 DBLP
26 Scalable distributed stream processing (context) - Cherniack, Balakrishnan et al. - 2003 DBLP
21 Tribeca: A system for managing large databases of network tr.. - Sullivan, Heybey - 1998
16 Flux: An adaptive partitioning operator for continuous query.. - Shah, Hellerstein et al. - 2003 ACM DBLP
14 Algebraic optimization of computations over scientific datab.. (context) - Wolniewicz, Graefe - 1993 ACM DBLP
14 Tuple routing strategies for distributed eddies - Tian, DeWitt - 2003 DBLP
9 The SDSS SkyServer: public access to the sloan digital sky s.. (context) - Szalay, Gray et al. - 2002 DBLP
2 Parallelizing userdefined functions in distributed object-re.. - Ng, Muntz - 1999
2 parallel dataflows (context) - Shah, Hellerstein et al. - 2004
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