Sailesh Krishnamurthy Michael J. Franklin Report No. UCB/CSD-05-1381 October...  Home/Search
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Abstract: Widely dispersed monitoring networks generate huge data volumes that are naturally organized via hierarchical aggregation. In a system that manages such data, applications pose periodic aggregate queries. In this paper we show how to e#ciently process multiple periodic aggregate queries in a hierarchy. First, we use a novel query rewrite that optimally executes individual queries. Next, we show how to combine the rewritten queries to share computation and communication resources. ... (Update)
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BibTeX entry: (Update)
@misc{ michael-distributed,
author = "Sailesh Krishnamurthy Michael",
title = "Distributed Streams",
url = "citeseer.ist.psu.edu/736224.html" }
Citations (may not include all citations):393 Data Cube: a relational aggregation operator generalizing gr.. - Gray - 1996
211 TAG: a tiny aggregation service for ad-hoc sensor networks - Madden - 2002
154 A blueprint for introducing disruptive technology into the i.. - Peterson - 2002
45 a powerful and simple database language (context) - Bancilhon - 1987
11 TelegraphCQ: An architectural status report - Krishnamurthy - 2003
7 The CQL continuous query language: Semantic foundations and .. - Arasu
3 Resource sharing in continuous sliding-window aggregates - Arasu - 2004
2 Semantics and evaluation techniques for window aggregates in.. (context) - Li - 2005
2 Design considerations for high fan-in systems: The HiFi appr.. (context) - Franklin - 2005
1 cient pipelined execution of sliding window queries over dat.. (context) - Hammad - 2003
1 Update-pattern-aware modeling and processing of continuous q.. (context) - Golab - 2005
1 cient evaluation of sliding-window aggregates over data stre.. (context) - Li, pane et al. - 2005
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