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Adaptively Parallelizing Distributed Range Queries

Summary: Adaptive parallelism for distributed range queries tunes per-query parallelism and assignment to minimize disk contention. Query selectivity, client load, and bandwidth guide per-query optimum, with tunable policies (short/long, high/low) in PNUTS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9855
Venue
VLDB
Year
2009
Pagerank
4.1905499e-05
Overall Rank
12,338 | 14.25%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,573 PNUTS to Sherpa: Lessons from Yahoo!'s Cloud Database 2019 VLDB 4.3211424e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
20 C-Store: A Column-oriented DBMS 2005 VLDB 0.00086163998
54 PNUTS: Yahoo!'s Hosted Data Serving Platform 2008 VLDB 0.0006582344
236 High-Performance Sorting on Networks of Workstations 1997 SIGMOD 0.00031790391
1,350 Online Balancing of Range-Partitioned Data with Applications to Peer-to-Peer Systems 2004 VLDB 0.00012446023
1,860 An Overview of DB2 Parallel Edition 1995 SIGMOD 0.00010300482
6,512 (Almost) Optimal Parallel Block Access for Range Queries 2000 PODS 5.0273291e-05
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