A Clustering Approximation Technique for Queueing Network Models with a Large Number of Chains
IEEE Transactions on Computers
Throughput calculation for basic stochastic rendezvous networks
Performance Evaluation
A compositional approach to performance modelling
A compositional approach to performance modelling
Theoretical Computer Science
Mean-Value Analysis of Closed Multichain Queuing Networks
Journal of the ACM (JACM)
Linearizer: a heuristic algorithm for queueing network models of computing systems
Communications of the ACM
Communicating sequential processes
Communications of the ACM
An Efficient Algorithm for Aggregating PEPA Models
IEEE Transactions on Software Engineering
Performance validation tools for software/hardware systems
Performance Evaluation
A Calculus of Communicating Systems
A Calculus of Communicating Systems
IEEE Transactions on Software Engineering
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Fluid Flow Approximation of PEPA models
QEST '05 Proceedings of the Second International Conference on the Quantitative Evaluation of Systems
WOSP '08 Proceedings of the 7th international workshop on Software and performance
Enhanced Modeling and Solution of Layered Queueing Networks
IEEE Transactions on Software Engineering
ACM SIGMETRICS Performance Evaluation Review
Stochastic Simulation Methods Applied to a Secure Electronic Voting Model
Electronic Notes in Theoretical Computer Science (ENTCS)
Continuous approximation of collective system behaviour: A tutorial
Performance Evaluation
Hi-index | 0.00 |
This paper presents a process-algebraic interpretation of the Layered Queueing Network model. The semantics of layered multi-class servers, resource contention, multiplicity of threads and processors are mapped into a model described in the stochastic process algebra PEPA. The accuracy of the translation is validated through a case study of a distributed computer system and the numerical results are used to discuss the relative strengths and weaknesses of the different forms of analysis available in both approaches, i.e., simulation, mean-value analysis, and differential approximation.