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Toward Practical Query Pricing with QueryMarket

Summary: QueryMarket enables practical data-market pricing with an ILP-based formulation for a query class, building on Koutris et al. Uses history to avoid double charging and updates; fair revenue sharing among sellers; prototype validates performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4742
Venue
SIGMOD
Year
2013
Pagerank
8.1897331e-05
Overall Rank
2,743 | 80.92%
DOI
-

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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
1,660 Data Markets in the Cloud: An Opportunity for the Database Community 2011 VLDB 0.00010979534
2,370 Query-Based Data Pricing 2012 PODS 8.9488834e-05
4,477 How to Price Shared Optimizations in the Cloud 2012 VLDB 6.1509882e-05
5,800 QueryMarket Demonstration: Pricing for Online Data Markets 2012 VLDB 5.3211601e-05
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