Open, Closed, and Mixed Networks of Queues with Different Classes of Customers
Journal of the ACM (JACM)
Performance Evaluation
IEEE Transactions on Software Engineering
Turning back time in Markovian process algebra
Theoretical Computer Science
Separable equilibrium state probabilities via time reversal in Markovian process algebra
Theoretical Computer Science - Quantitative aspects of programming languages (QAPL 2004)
A numerical algorithm for the solution of product-form models with infinite state spaces
EPEW'10 Proceedings of the 7th European performance engineering conference on Computer performance engineering
Performance engineering with product-form models: efficient solutions and applications
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
An initiative for a classified bibliography on G-networks
Performance Evaluation
Bibliography on G-networks, negative customers and applications
Mathematical and Computer Modelling: An International Journal
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The Reversed Compound Agent Theorem (RCAT) is a compositional result that uses Markovian process algebra to derive the reversed process of two cooperating continuous time Markov chains at equilibrium, under certain conditions. From this reversed process, together with the given, forward process, the joint state probabilities can be expressed as a product-form.We introduce MEERCAT, the first implementation of the RCAT, which classifies models where the theorem can be applied, and generates their product-form solutions.