DBScholar

Back to papers

Continuous Cloud-Scale Query Optimization and Processing

Summary: Continuous, runtime-driven optimization in Scope for cloud-scale queries, with live statistics collection. In-flight plan reoptimization mitigates missing stats and skew, delivering latency gains on production clusters; extends to MapReduce and UDF-heavy workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10944
Venue
VLDB
Year
2013
Pagerank
6.5269203e-05
Overall Rank
4,742 | 67.47%
DOI
10.14778/2536222.2536226

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bruno_vldb13,
        title = {{Continuous Cloud-Scale Query Optimization and Processing}},
        author = {Bruno, Nicolas and Jain, Sapna and Zhou, Jingren},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {11},
        pages = {961--972},
        doi = {10.14778/2536222.2536226},
        url = {https://doi.org/10.14778/2536222.2536226},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 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