Database Paper Browser

Back to papers

Query-Aware Partitioning for Monitoring Massive Network Data Streams

Summary: Proposes query-aware partitioning for distributed DSMSs to beat conventional methods. Analyzes query sets to pick optimal partitioning and reconcile cross-query requirements; experiments on high-rate traffic show improved load distribution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4060
Venue
SIGMOD
Year
2008
Pagerank
4.8569938e-05
Overall Rank
7,027 | 51.12%
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
2,264 S-Store: Streaming Meets Transaction Processing 2015 VLDB 9.1575142e-05
5,045 Massive Scale-out of Expensive Continuous Queries 2011 VLDB 5.740793e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 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