Achieving the appropriate performance requirements for computer-communication systems is as important as the correctness of the end-result. This is particularly difficult in the case of massively parallel computer systems such as the clusters of PCs behind the likes of Google and peer-to-peer filesharing networks such as Bittorrent. Measuring the performance of such systems using a mathematical model is invariably computationally intensive. Formal modelling techniques make possible the derivation of such performance measures but currently suffer from the state-space explosion problem, that is, models become intractably large even for systems of apparently modest complexity. This work develops a novel class of techniques aimed at addressing...
The accurate performance analysis of large-scale computer and communication systems is directly inh...
Fluid flow approximation allows efficient analysis of large scale PEPA models. Given a model, this m...
We present an analysis framework for performance evaluation of large-scale resource-bound (LSRB) co...
The stochastic process algebra PEPA is a powerful modelling formalism for concurrent systems, which...
Performance Evaluation Process Algebra (PEPA) [1] is fifteen years old this year. This talk will sur...
The performance modelling of large-scale systems using discrete-state approaches is fundamentally h...
In this paper we consider the use of a fluid flow approximation based on ordinary differential equat...
Reasoning about the performance of models of software systems typically entails the derivation of me...
AbstractMarkovian process algebras, such as PEPA and stochastic π-calculus, bring a powerful composi...
The fluid interpretation of the process calculus PEPA provides a very useful tool for the performanc...
Abstract Fluid or mean-field methods are approximate analytical techniques which have proven effecti...
We present an application of partial evaluation to performance models expressed in the PEPA stochast...
Stochastic process algebras such as PEPA have enjoyed considerable success as CTMC-based system desc...
We review several developments in fluid flow models: feedback fluid models, linear stochastic fluid ...
Stochastic fluid models have been applied to model and evaluate the performance of many important re...
The accurate performance analysis of large-scale computer and communication systems is directly inh...
Fluid flow approximation allows efficient analysis of large scale PEPA models. Given a model, this m...
We present an analysis framework for performance evaluation of large-scale resource-bound (LSRB) co...
The stochastic process algebra PEPA is a powerful modelling formalism for concurrent systems, which...
Performance Evaluation Process Algebra (PEPA) [1] is fifteen years old this year. This talk will sur...
The performance modelling of large-scale systems using discrete-state approaches is fundamentally h...
In this paper we consider the use of a fluid flow approximation based on ordinary differential equat...
Reasoning about the performance of models of software systems typically entails the derivation of me...
AbstractMarkovian process algebras, such as PEPA and stochastic π-calculus, bring a powerful composi...
The fluid interpretation of the process calculus PEPA provides a very useful tool for the performanc...
Abstract Fluid or mean-field methods are approximate analytical techniques which have proven effecti...
We present an application of partial evaluation to performance models expressed in the PEPA stochast...
Stochastic process algebras such as PEPA have enjoyed considerable success as CTMC-based system desc...
We review several developments in fluid flow models: feedback fluid models, linear stochastic fluid ...
Stochastic fluid models have been applied to model and evaluate the performance of many important re...
The accurate performance analysis of large-scale computer and communication systems is directly inh...
Fluid flow approximation allows efficient analysis of large scale PEPA models. Given a model, this m...
We present an analysis framework for performance evaluation of large-scale resource-bound (LSRB) co...