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Predicting Cost Amortization for Query Services

Summary: Stochastic model for amortizing data-structure costs (views, indexes) across time and multiple query services. Regresses query traffic to feed the amortization; validated within a cloud-DBMS economy model, enabling fast, cheap queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h9d371c3962f4dc3f
Venue
SIGMOD
Year
2011
Pagerank
6.2016737e-05
Overall Rank
5,267 | 64.59%
DOI
10.1145/1989323.1989358

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kantere_sigmod11,
        title = {{Predicting Cost Amortization for Query Services}},
        author = {Kantere, Verena and Dash, Debabrata and Gratsias, Georgios and Ailamaki, Anastasia},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989358},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989358},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,517 How to Price Shared Optimizations in the Cloud 2012 VLDB 6.5641941e-05
9,775 Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market 2014 SIGMOD 5.1317143e-05
12,534 COCCUS: Self-Configured Cost-Based Query Services in the Cloud 2013 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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