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Customizable Parallel Execution of Scientific Stream Queries

Summary: Extensible stream DB enabling scalable continuous queries on high-volume scientific streams, via an object-relational model for app-dependent streams and functions. Partitioning templates: window split (reduce data units via app functions) and window distribute (distribute whole units); tradeoffs: split suits resource limits, distribute scales on large workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9299
Venue
VLDB
Year
2005
Pagerank
4.4938165e-05
Overall Rank
8,496 | 40.96%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,044 Massive Scale-out of Expensive Continuous Queries 2011 VLDB 5.7338982e-05
7,028 Query-Aware Partitioning for Monitoring Massive Network Data Streams 2008 SIGMOD 4.852324e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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