Modeling a fibre channel switch with stochastic Petri nets

Publisher Website
Google Scholar
Abstract
As computing systems become increasingly complex and concurrent, performance analysis becomes more important, especially when designing an overall ar- chitecture. Simple numerical approximations can of- ten yield bounds on performance. Queueing theory and Markovian analysis can provide insight into the steady-state performance of the system. Discrete- event simulation can provide a more detailed view of the system behavior. We used all of the above tech- niques in the performance study of a Fibre Channel switch. An approximate stochastic Petri net (SPN) model was employed, obtained by exploiting sym- metries in the system. The most challenging aspect was determining transition ring probabilities that accurately reected the dynamic behavior of the ex- act SPN. This model was valided against a detailed simulation and found to be accurate within 3%. See (1) for details and references.

This publication has 0 references indexed in Scilit: