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

  • Authors:
  • Alessandro Avenali;Carlo Batini;Paola Bertolazzi;Paolo Missier

  • Affiliations:
  • Dipartimento di Informatica e Sistemistica, Universití di Roma "La Sapienza", Roma, Italy;Dipartimento di Informatica, Sistemistica e Comunicazioni, Universití di Milano Bicocca, Milano, Italy;Istituto di Analisi dei Sistemi ed Informatica "A. Ruberti" - CNR, Italy;School of Computer Science, The University of Manchester, UK

  • Venue:
  • Decision Support Systems
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

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.