Database Paper Browser

Back to papers

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
9298
Venue
VLDB
Year
2005
Pagerank
4.4981372e-05
Overall Rank
8,498 | 40.89%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,045 Massive Scale-out of Expensive Continuous Queries 2011 VLDB 5.740793e-05
7,027 Query-Aware Partitioning for Monitoring Massive Network Data Streams 2008 SIGMOD 4.8569938e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers