On the probability of deadlock in computer systems

  • Authors:
  • Clarence A. Ellis

  • Affiliations:
  • Department of Computer Science, University of Colorado, Boulder, Colorado

  • Venue:
  • SOSP '73 Proceedings of the fourth ACM symposium on Operating system principles
  • Year:
  • 1973

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Abstract

As the number of processes and resources increases within a computer system, does the probability of that system's being in deadlock increase or decrease? This paper introduces Probabilistic Automata as a model of computer systems. This allows investigation of the above question for various scheduling algorithms. A theorem is proven which indicates that, within the types of systems considered, the probability of deadlock increases.