Database Paper Browser

Back to papers

Sharing Data and Work Across Concurrent Analytical Queries

Summary: Two runtime sharing methods for concurrent analytics: SP and GQP. SP and GQP are orthogonal; push SP helps high concurrency (20-48%) but hurts low concurrency; pull SP removes bottlenecks and scales up to 82-86%, yielding a low-vs-high concurrency trade-off. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10727
Venue
VLDB
Year
2013
Pagerank
5.8029448e-05
Overall Rank
4,959 | 65.51%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 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