The hyperion project: from data integration to data coordination

  • Authors:
  • Marcelo Arenas;Vasiliki Kantere;Anastasios Kementsietsidis;Iluju Kiringa;Renée J. Miller;John Mylopoulos

  • Affiliations:
  • University of Toronto;University of Toronto;University of Toronto;University of Ottawa;University of Toronto;University of Toronto

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 2003

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Abstract

We present an architecture and a set of challenges for peer database management systems. These systems team up to build a network of nodes (peers) that coordinate at run time most of the typical DBMS tasks such as the querying, updating, and sharing of data. Such a network works in a way similar to conventional multidatabases. Conventional multidatabase systems are founded on key concepts such as those of a global schema, central administrative authority, data integration, global access to multiple databases, permanent participation of databases, etc. Instead, our proposal assumes total absence of any central authority or control, no global schema, transient participation of peer databases, and constantly evolving coordination rules among databases. In this work, we describe the status of the Hyperion project, present our current solutions, and outline remaining research issues.