research-article

Data markets in the cloud: an opportunity for the database community

Authors:

Magdalena Balazinska,

Dan SuciuAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 4, Issue 12

Pages 1482 - 1485

https://doi.org/10.14778/3402755.3402801

Published: 01 August 2011 Publication History

Abstract

Cloud-computing is transforming many aspects of data management. Most recently, the cloud is seeing the emergence of digital markets for data and associated services. We observe that our community has a lot to offer in building successful cloud-based data markets. We outline some of the key challenges that such markets face and discuss the associated research problems that our community can help solve.

References

[1]

Cse544 - Principles of Database Systems - Winter 2011 projects. http://www.cs.washington.edu/education/courses/cse544/11wi/project.html%.

[2]

Aggdata. http://www.aggdata.com/.

[3]

Using Amazon S3 Requester Pays with DevPay. http://docs.amazonwebservices.com/AmazonDevPay/latest/DevPayDeveloperGu%ide/index.html?S3RequesterPays.html.

[4]

Azure data market. https://datamarket.azure.com/.

[5]

S. Chaudhuri and V. R. Narasayya. Self-tuning database systems: A decade of progress. In Proc. of the 33rd VLDB Conf., pages 3--14, 2007.

Digital Library

[6]

CloudSigma. http://www.cloudsigma.com/.

[7]

CustomLists.net. http://www.customlists.net/home.

[8]

D. Dash, V. Kantere, and A. Ailamaki. An economic model for self-tuned cloud caching. In Proc. of the 25th ICDE Conf., pages 1687--1693, 2009.

Digital Library

[9]

Google Fusion Tables. http://tables.googlelabs.com/public/tour/tour1.html.

[10]

T. Green, G. Karvounarakis, and V. Tannen. Provenance semirings. In PODS, pages 31--40, 2007.

Digital Library

[11]

Hulu plus. http://www.hulu.com/plus?a.

[12]

Infochimps. http://www.infochimps.com/.

[13]

S. Jain and P. K. Kannan. Pricing of information products on online servers: Issues, models, and analysis. Management Science, 48(9):1123--1142, 2002.

Digital Library

[14]

C. Johnson. How did weather data get opened? http://infovegan.com/2010/08/09/how-did-weather-data-get-opened.

[15]

N. Mankiw. Principles of economics. South-Western Pub, 2008.

[16]

Many eyes. http://www-958.ibm.com/software/data/cognos/manyeyes/. http://services.alphaworks.ibm.com/manyeyes/home.

[17]

C. Shapiro and H. R. Varian. Versioning: The smart way to sell information. Harvard Business Review, 1998.

[18]

Stonebraker et al. Mariposa: a wide-area distributed database system. VLDB Journal, 5(1):048--063, 1996.

Digital Library

[19]

Tableau. http://www.tableausoftware.com/.

[20]

Wang et al. Distributed systems meet economics: Pricing in the cloud. In Proc. of HotCloud'10, pages 6--6, 2010.

Cited By

Si MPei J(2024)Counterfactual Explanation of Shapley Value in Data CoalitionsProceedings of the VLDB Endowment10.14778/3681954.368200417:11(3332-3345)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.14778/3681954.3682004
Luo XPei JXu CZhang WXu J(2024)Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple GamesProceedings of the ACM on Management of Data10.1145/36393112:1(1-28)Online publication date: 26-Mar-2024
https://dl.acm.org/doi/10.1145/3639311
Zhao BLyu BFernandez RKolar MKrause ABrunskill ECho KEngelhardt BSabato SScarlett J(2023)Addressing budget allocation and revenue allocation in data market environments using an adaptive sampling algorithmProceedings of the 40th International Conference on Machine Learning10.5555/3618408.3620178(42081-42097)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.5555/3618408.3620178
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Published In

cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 4, Issue 12

August 2011

303 pages

ISSN:2150-8097

Editor:
H. V. Jagadish

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VLDB Endowment

Publication History

Published: 01 August 2011

Published in PVLDB Volume 4, Issue 12

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Cited By

Si MPei J(2024)Counterfactual Explanation of Shapley Value in Data CoalitionsProceedings of the VLDB Endowment10.14778/3681954.368200417:11(3332-3345)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.14778/3681954.3682004
Luo XPei JXu CZhang WXu J(2024)Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple GamesProceedings of the ACM on Management of Data10.1145/36393112:1(1-28)Online publication date: 26-Mar-2024
https://dl.acm.org/doi/10.1145/3639311
Zhao BLyu BFernandez RKolar MKrause ABrunskill ECho KEngelhardt BSabato SScarlett J(2023)Addressing budget allocation and revenue allocation in data market environments using an adaptive sampling algorithmProceedings of the 40th International Conference on Machine Learning10.5555/3618408.3620178(42081-42097)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.5555/3618408.3620178
Xia HLiu JLou JQin ZRen KCao YXiong L(2023)Equitable Data Valuation Meets the Right to Be Forgotten in Model MarketsProceedings of the VLDB Endowment10.14778/3611479.361153116:11(3349-3362)Online publication date: 24-Aug-2023
https://dl.acm.org/doi/10.14778/3611479.3611531
Li QLiu ZLi QXu KMeng WJensen CCremers CKirda E(2023)martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning ArchitectureProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security10.1145/3576915.3623134(1496-1510)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3576915.3623134
Miao XPeng HGao YZhang ZYin J(2023)On Dynamically Pricing Crowdsourcing TasksACM Transactions on Knowledge Discovery from Data10.1145/354401817:2(1-27)Online publication date: 20-Feb-2023
https://dl.acm.org/doi/10.1145/3544018
Hou HQiao LYuan YChen CWang G(2023)A Scalable Query Pricing Framework for Incomplete Graph DataDatabase Systems for Advanced Applications10.1007/978-3-031-30637-2_7(97-113)Online publication date: 17-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-30637-2_7
Li YYu XKoudas N(2021)Data acquisition for improving machine learning modelsProceedings of the VLDB Endowment10.14778/3467861.346787214:10(1832-1844)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.14778/3467861.3467872
Hayashi TIshimura GOhsawa Y(2021)Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange EcosystemKnowledge Management and Acquisition for Intelligent Systems10.1007/978-3-030-69886-7_8(98-105)Online publication date: 7-Jan-2021
https://dl.acm.org/doi/10.1007/978-3-030-69886-7_8
Chawla SDeep SKoutrisw PTeng Y(2019)Revenue maximization for query pricingProceedings of the VLDB Endowment10.14778/3357377.335737813:1(1-14)Online publication date: 1-Sep-2019
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