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Scheduling Shared Scans of Large Data Files

Summary: Studies scheduling scans of large shared data files under many concurrent requests to maximize throughput via aggressive cross-job IO sharing. Proposes a family of sharable-workload policies that deprioritize scans when future sharable demand is high, with simulations on synthetic and real workloads showing gains over SJF baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9919
Venue
VLDB
Year
2008
Pagerank
7.5796338e-05
Overall Rank
3,270 | 77.57%
DOI
10.14778/1454159.1454169

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{agrawal_vldb08,
        title = {{Scheduling Shared Scans of Large Data Files}},
        author = {Agrawal, Parag and Kifer, Daniel and Olston, Christopher},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {1},
        pages = {958--969},
        doi = {10.14778/1454159.1454169},
        url = {https://doi.org/10.14778/1454159.1454169},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
383 QPipe: A Simultaneously Pipelined Relational Query Engine 2005 SIGMOD 0.00019520728
761 Cooperative Scans: Dynamic Bandwidth Sharing in a DBMS 2007 VLDB 0.00014254351
1,933 Red Brick Warehouse: A Read-Mostly RDBMS for Open SMP Platforms 1994 SIGMOD 9.4642118e-05
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