Separating data and control: support for adaptable consistency protocols in collaborative systems

  • Authors:
  • Yi Yang;Du Li

  • Affiliations:
  • Texas A&M University, College Station, TX;Texas A&M University, College Station, TX

  • Venue:
  • CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
  • Year:
  • 2004

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Abstract

Consistency control is critical for the correct functioning of distributed collaboration support systems. A large number of consistency control methods have appeared in the literature with different design tradeoffs and usability implications. However, there has been relatively little work on how to accommodate different protocols and variations in one framework to address the dynamic needs of collaboration. In this paper, we propose a novel approach for supporting adaptable consistency protocols in collaborative systems. Our approach cleanly separates data and control, allowing consistency protocols to be dynamically attached to shared data at the object level. Protocols can be switched at run time without modifying source code.