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conference paper
Stochasticity of probabilistic systems: Analysis methodologies case-study
2005
Proceedings of the 2005 International Conference on Collaborative Computing: Networking, Applications and Worksharing
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).
Type
conference paper
Authors
Publication date
2005
Published in
Proceedings of the 2005 International Conference on Collaborative Computing: Networking, Applications and Worksharing
Subjects
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
San Jose, CA, USA | Dec. 19-21, 2005 | |
Available on Infoscience
August 25, 2006
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