SCAT: A heuristic algorithm for queueing network models of computing systems

  • Authors:
  • D. Neuse;K. Chandy

  • Affiliations:
  • The University of Texas, Austin;The University of Texas, Austin

  • Venue:
  • SIGMETRICS '81 Proceedings of the 1981 ACM SIGMETRICS conference on Measurement and modeling of computer systems
  • Year:
  • 1981

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Abstract

This paper presents a new algorithm for the approximate analysis of closed product-form queueing networks with fixed-rate, delay (infinite-server), and load-dependent queues. This algorithm has the accuracy, speed, small memory requirements, and simplicity necessary for inclusion in a general network analysis package. The algorithm allows networks with large numbers of queues, job classes, and populations to be analyzed interactively even on microcomputers with very limited memory.