Proceedings 2003 VLDB Conference: 29th International Conference on Very Large Databases (VLDB)Morgan Kaufmann, 2003 M12 2 - 1050 pages Proceedings of the 29th Annual International Conference on Very Large Data Bases held in Berlin, Germany on September 9-12, 2003. Organized by the VLDB Endowment, VLDB is the premier international conference on database technology. |
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... of Wisconsin-Madison, USA) Scheduling for shared window joins over data streams .................................................................................. 297 Moustafa A. Hammad (Purdue University, USA), Michael ...
... of Wisconsin-Madison, USA) Scheduling for shared window joins over data streams .................................................................................. 297 Moustafa A. Hammad (Purdue University, USA), Michael ...
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... ................................... 488 Tobias Kraft, Holger Schwarz, Ralf Rantzau, Bernhard Mitschang (University of Stuttgart, Germany) Advanced Query Processing Processing Sliding Window Multi-Joins in Continuous Queries.
... ................................... 488 Tobias Kraft, Holger Schwarz, Ralf Rantzau, Bernhard Mitschang (University of Stuttgart, Germany) Advanced Query Processing Processing Sliding Window Multi-Joins in Continuous Queries.
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... Window Multi-Joins in Continuous Queries over Data Streams ..................................... 500 Lukasz Golab, M. Tamer Ozsu (University of Waterloo, Canada) Continuous K-Nearest Neighbor Queries for Continuously Moving Points with ...
... Window Multi-Joins in Continuous Queries over Data Streams ..................................... 500 Lukasz Golab, M. Tamer Ozsu (University of Waterloo, Canada) Continuous K-Nearest Neighbor Queries for Continuously Moving Points with ...
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... window is (9.7, 10.3). When update 10.3 arrives it has to be pushed only to B, making the window for B (10, 10.6). A subsequent update of 10.55 will have to be sent only to A. (right) Changed scenario when a pseudo value of 10.2 is ...
... window is (9.7, 10.3). When update 10.3 arrives it has to be pushed only to B, making the window for B (10, 10.6). A subsequent update of 10.55 will have to be sent only to A. (right) Changed scenario when a pseudo value of 10.2 is ...
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... window oscillates.Dependent ordering(right) - Pushing a pseudo value of 10.2 sets the coherency window to (9.9, 10.5) and further oscillations between 10 and 10.3 fall within this window and need not be pushed. shown are for 100 data ...
... window oscillates.Dependent ordering(right) - Pushing a pseudo value of 10.2 sets the coherency window to (9.9, 10.5) and further oscillations between 10 and 10.3 fall within this window and need not be pushed. shown are for 100 data ...
Contents
17 | |
31 | |
Part 4 Industrial Sessions | 935 |
Part 5 Panels | 1041 |
Part 6 Demo Sessions | 1051 |
Author Index | 1153 |
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Common terms and phrases
ACM SIGMOD algorithm applications approach attribute average bisimulation bucket buffer cache misses clustering compressed compute Conf constraints contains context nodes corresponding cost Data Bubble data mining data set data stream database systems DBLP defined denote distance distributed edge efficient elements engine estimation evaluation example execution experiments Figure function global graph hash join hash table histograms ICDE implementation input integration interface join join algorithm load matching merge algorithm method micro-clusters MJoin operator optimization output PAC-Man Pagerank parameter partition path expression performance predicate probe problem Proc query optimization query plan query processing ranking relation repository retrieval rithm scalability scan schema Section selection semantics sequence server shows SIGMOD storage stored structure subtree techniques tion tree pattern tuples Unicode update VLDB Web.Views window workload XFDs XML document XML query XPath