Software Connectors for Highly Distributed and Voluminous Data Intensive Systems

  • Authors:
  • Chris A. Mattmann

  • Affiliations:
  • University of Southern California and California Institute of Technology

  • Venue:
  • ASE '06 Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering
  • Year:
  • 2006

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Abstract

We describe a research agenda for selecting software connectors which quantifiably satisfy different scenarios for large volume data distribution. We outline the necessity for a framework which allows a user to select amongst the different distribution connectors available. The framework is based on a classification of distribution connectors along eight key dimensions of data distribution.