Performance Of An Unbuffered Beta Model Using Stochastic Petri Nets

Benazzouz, Djamel; Farah, Abdulkadir Osman

doi:10.1080/02286203.1999.11760439

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Proposed Model Based On Markov Chain (Mc)1

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“…The following hypotheses are realistic and used by most researchers [2][3][4], [7], [10]: a) The sojourn times in the states are exponentially distributed. b) When a path is established between input and an output, the path is used for a fixed number of cycles for data transfer.…”

Section: Proposed Model Based On Markov Chain (Mc)mentioning

confidence: 99%

Performance of a shuffle exchange network using markov chains

Benazzouz

The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005.

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This paper presents an approximation of a performance evaluation of a single stage shuffle exchange network (SEN) topology. The proposed model is based on a homogenous and finite Markov chain (MC), where the state is discrete and time is continuous. The unbuffered and the buffered strategies of SEN have been considered. We show that the unbuffered strategy has a low blocking probabilities compared to the buffered one. We show that there is no linearity, on one hand, between the bandwidth (Bw) or the average service time (Avt) and the size of the network, and on the other hand, between the Bw or the A vt and the length of the message.

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Section: Proposed Model Based On Markov Chain (Mc)mentioning

confidence: 99%

Performance of a shuffle exchange network using markov chains

Benazzouz

The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005.

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Performance Of An Unbuffered Beta Model Using Stochastic Petri Nets

Cited by 1 publication

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Performance of a shuffle exchange network using markov chains

Performance of a shuffle exchange network using markov chains

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