Skip to main navigation Skip to search Skip to main content

Stochastic Well-Formed Colored Nets and Symmetric Modeling Applications

Research output: Contribution to journalArticlepeer-review

Abstract

The class of stochastic well-formed colored nets (SWN’s) was defined as a syntactic restriction of stochastic high-level nets. The interest of the introduction of restrictions in the model definition is the possibility of exploiting the symbolic reachability graph (SRG) to reduce the complexity of Markovian performance evaluation with respect to classical Petri net techniques. It turns out that SWN’s allow the representation of any color function in a structured form, so that any unconstrained high-level net can be transformed into a well-formed net. Moreover, most constructs useful for the modeling of distributed computer systems and architectures directly match the “well-formed” restriction, without any need of transformation. A nontrivial example of the usefulness of the technique in the performance modeling and evaluation of multiprocessor architectures is included.

Original languageEnglish
Pages (from-to)1343-1360
Number of pages18
JournalIEEE Transactions on Computers
Volume42
Issue number11
DOIs
Publication statusPublished - Nov 1993
Externally publishedYes

Keywords

  • Bus and memory contention. computational
  • Markov chains
  • complexity
  • high-level Petri nets
  • lumpability condition
  • model symmetry
  • multiprocessor systems
  • performance evaluation
  • symbolic reachability graph

Fingerprint

Dive into the research topics of 'Stochastic Well-Formed Colored Nets and Symmetric Modeling Applications'. Together they form a unique fingerprint.

Cite this