The exact performance analysis of large-scale software systems with discrete-state approaches is difficult because of the well-known problem of state-space explosion. This paper considers this problem with regard to the stochastic process algebra PEPA, presenting a deterministic approximation to the underlying Markov chain model based on ordinary differential equations. The accuracy of the approximation is assessed by means of a substantial case study of a distributed multithreaded application.
|Titolo:||Scalable Differential Analysis of Process Algebra Models|
|Data di pubblicazione:||2012|
|Appare nelle tipologie:||1.1 Articolo in rivista|