Transaction tagging in highly congested network simulations

  • Authors:
  • Lee W. Schruben;Jack Chung-Yu Ho;Joan E. Silverman;Nelson F. Steele;Robert G. Sargent

  • Affiliations:
  • Cornell University, Ithaca, New York;Cornell University, Ithaca, New York;Cornell University, Ithaca, New York;Cornell University, Ithaca, New York;Syracuse University, Syracuse, New York

  • Venue:
  • WSC '82 Proceedings of the 14th conference on Winter Simulation - Volume 1
  • Year:
  • 1982

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Abstract

Process flow network simulation models are often constrained by computer time and memory when there are a large number of transactions active in the model. This paper describes an approach to alleviate the storage problems associated with transaction congestion in large scale network simulation models. Transaction tagging, the selective monitoring of entities, is the approach presented. The effect of tagging on primary memory requirements, the information obtained from a simulation, and the cost of running a simulation is investigated. Issues regarding the use of tagging are explored. For certain types of highly congested network simulation models, tagging can be used to reduce storage requirements without significant information loss.