Computational Probability

doi:10.1007/978-1-4757-4828-4

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Markov Chain Model1

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Cited by 25 publications

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“…Here, π i ij q represents the probability flux from state i to state j and the symbol \ represents exclusion. In general, it is computationally intractable to solve this system of equations for most queuing models (Grassman, 2000).…”

Section: Markov Chain Modelmentioning

confidence: 99%

A Formal Framework for Patch Management

Francia

Kım

Ahn

et al. 2013

International Journal of Interdisciplinary Telecommunications and Networking

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A patch management model provides a framework with which a system’s parameters and behavior can be tested and validated. The authors propose a formal framework that is based on the Continuous Time Markov Chain Model and validate the model using the SHARPE modeling tool. Furthermore, they perform sensitivity analyses to study the dynamic behavior of the proposed model with varying parameter values. A discussion on the results of our study and future research directions concludes the paper.

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Section: Markov Chain Modelmentioning

confidence: 99%