Call For Papers

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Performance evaluation methodologies based on structured Markov chains have taken a more prominent role over the last two decades. During this time, due to the strong exploitation of the involved structures, the techniques used to assess the performance measures of interest have advanced significantly in terms of their efficiency, while becoming more complex at the same time. This increased complexity often acts as an opposing force to a more wide spread use of these advanced methodologies.

Making these novel techniques more accessible via a set of software tools is therefore essential to further promote their integration in the system design.

This workshop solicits papers on software tools for solving structured Markov chains (MCs), topics include (but are not restricted to):

	Infinite (countable/continuous) and finite (large) MCs
	Continuous and discrete time MCs
	Skip-free (QBD, M/G/1, GI/M/1 type) and non-skip-free MCs
	Level dependent and independent MCs
	Tree-structured and tree-like MCs
	Fluid flows queues
	MCs with a regenerative structure
	MCs with tensor structure
	Nearly Completely Decomposable MCs
	Queuing systems with an underlying structured MC

Tools for computing the following type of performance measures are requested: 

	Transient and steady state probabilities
	First passage times
	Decay rates, loss rates
	Distributions and moments

Authors of accepted papers are strongly encouraged to demonstrate their software tool during the Exhibition/demos session; this would be an ideal opportunity for the authors to foster a direct discussion of their work with the attendees.