Stochasticity of probabilistic systems: Analysis methodologies case-study

We do a case study of two different analysis techniques for studying the stochastic behavior of a randomized system/algorithms: (i) The first approach can be broadly termed as a mean value analysis (MVA), where the evolution of the mean state is studied assuming that the system always actually resides in the mean state. (ii) The second approach looks at the probability distribution function of the system states at any time instance, thus studying the evolution of the (probability mass) distribution function (EoDF).


Published in:
Proceedings of the 2005 International Conference on Collaborative Computing: Networking, Applications and Worksharing
Presented at:
2005 International Conference on Collaborative Computing: Networking, Applications and Worksharing, San Jose, CA, USA, Dec. 19-21, 2005
Year:
2005
Keywords:
Laboratories:




 Record created 2006-08-25, last modified 2018-03-17


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