Distributed triggers for peer data management

  • Authors:
  • Verena Kantere;Iluju Kiringa;Qingqing Zhou;John Mylopoulos;Greg McArthur

  • Affiliations:
  • National Technical University of Athens;University of Ottawa;University of Toronto;University of Toronto;University of Toronto

  • Venue:
  • ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
  • Year:
  • 2006

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Abstract

A network of peer database management systems differs from conventional multidatabase systems by assuming absence of any central control, no global schema, transient connection of participating peer DBMSs, and evolving coordination among databases We describe distributed triggers to support data coordination in this setting The execution of our triggers requires coordination among the involved peer databases We present an SQL3 compatible trigger language for the P2P setting We also extend the SQL3 processing mechanism to this setting Our trigger processing mechanism consists of an execution semantics, a set of termination protocols to deal with peer transiency, and a set of protocols for managing peer acquaintances in presence of distributed triggers We show preliminary experimental results about our mechanism.