Brokering infrastructure for minimum cost data procurement based on quality-quantity models

Alessandro Avenali, Carlo Batini*, Paola Bertolazzi, Paolo Missier

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Inter-organization business processes involve the exchange of structured data across information systems. We assume that data are exchanged under given condition of quality (offered or required) and prices. Data offer may include bundling schemes, whereby different types of data are offered together with a single associated price and quality. We describe a brokering algorithm for obtaining data from peers, by minimizing the overall cost under quality requirements constraints. The algorithm extends query processing techniques over multiple database schemas to automatically derive an integer linear programming problem that returns an optimal matching of data providers to data consumers under realistic economic cost models.

Original languageEnglish
Pages (from-to)95-109
Number of pages15
JournalDecision Support Systems
Volume45
Issue number1
DOIs
Publication statusPublished - Apr 2008

Bibliographical note

Funding Information:
The work presented in this paper has been partially supported by the eG4M MIUR FIRB project on e-Government in Mediterranean Countries and the MIUR FIRB MAIS project — Multi-channel Adaptive Information Systems: models, methodology, qualifying object-oriented platform and architectures for the flexible on-line information systems.

Keywords

  • Brokering service
  • Bundle of data
  • Data quality
  • Information economics
  • Information market
  • Integer linear programming
  • Quality cost optimization

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management

Fingerprint

Dive into the research topics of 'Brokering infrastructure for minimum cost data procurement based on quality-quantity models'. Together they form a unique fingerprint.

Cite this