Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools 2017
DOI: 10.1145/3150928.3150970
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Modeling and evaluating performances of complex edge computing based systems

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“…Many works rely on queueing systems to study distributed architectures (see, e.g., [2,3] for some recent references) but due to their very abstract level of representation of resource contention, Markovian queueing networks (QNs) find a wider application (see, e.g., [4,5,6]). Under mild conditions, Markovian queueing networks admit a product-form solution, i.e., the expression of the stationary distribution can be derived without resorting to the explicit solution of the Markov chain underlying the model.…”
Section: Introductionmentioning
confidence: 99%
“…Many works rely on queueing systems to study distributed architectures (see, e.g., [2,3] for some recent references) but due to their very abstract level of representation of resource contention, Markovian queueing networks (QNs) find a wider application (see, e.g., [4,5,6]). Under mild conditions, Markovian queueing networks admit a product-form solution, i.e., the expression of the stationary distribution can be derived without resorting to the explicit solution of the Markov chain underlying the model.…”
Section: Introductionmentioning
confidence: 99%