SkySuite: A Framework of Skyline-Join Operators for Static and Stream Environments
Summary: SkySuite: a framework of skyline-join operators for multi-source queries in static and stream environments. Introduces SSJ for efficient static skyline-join, and LSJ for incremental streaming skyline-join, reducing exhaustive scans and costly pairwise pruning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mithila Nagendra (Arizona State University)
- 2. K. Selçuk Candan (Arizona State University)
BibTeX Citation
@article{nagendra_vldb13,
title = {{SkySuite: A Framework of Skyline-Join Operators for Static and Stream Environments}},
author = {Nagendra, Mithila and Candan, K. Selçuk},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
doi = {10.14778/2536274.2536292},
url = {https://doi.org/10.14778/2536274.2536292},
year = {2013}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 243 | Efficient Progressive Skyline Computation | 2001 | VLDB | 0.00023495903 |
| 4,517 | Window-Aware Load Shedding for Aggregation Queries over Data Streams | 2006 | VLDB | 6.6481605e-05 |
| 6,643 | Skyline Query Processing over Joins | 2011 | SIGMOD | 5.8152344e-05 |
| 8,138 | Safety Guarantee of Continuous Join Queries over Punctuated Data Streams | 2006 | VLDB | 5.4803781e-05 |
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