Performability modeling with UltraSAN

J. Couvillion, R. Freire, R. Johnson, W. D. Obal, M. A. Qureshi, M. Rai, W. H. Sanders, J. E. Tvedt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stochastic extensions to Petri nets have received growing attention during the past decade as a model for evaluating the performance, dependability, and performability of computer hardware, software, and networks. Their formal structure permits solution by analytic means in many cases. When this is not possible, they an facilitate the automatic generation of a simulation program to estimate system behavior. The paper describes an X-window based software tool for evaluating systems that are represented as stochastic activity networks, a variant of stochastic Petri nets. The tool, known as UltraSAN, incorporates the results of recent research to significantly reduce the size of the state space that is considered for analytic solution, as well as the number of event types that are considered in simulation. Throughout the paper, a simple local area network model is used to illustrate the concepts, user interface, and model construction and solution methods implemented in the package.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th International Workshop on Petri Nets and Performance Models, PNPM 1991
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-299
Number of pages10
ISBN (Electronic)0818622857, 9780818622854
DOIs
StatePublished - Jan 1 1991
Externally publishedYes
Event4th International Workshop on Petri Nets and Performance Models, PNPM 1991 - Melbourne, Australia
Duration: Dec 2 1991Dec 5 1991

Publication series

NameProceedings of the 4th International Workshop on Petri Nets and Performance Models, PNPM 1991

Conference

Conference4th International Workshop on Petri Nets and Performance Models, PNPM 1991
CountryAustralia
CityMelbourne
Period12/2/9112/5/91

ASJC Scopus subject areas

  • Modeling and Simulation
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence

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