1984
DOI: 10.21236/ada148439
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Extended Stochastic Petri Nets: Applications and Analysis.

Abstract: ID. RESTRICTIVE MARKINGS 3. DISTRIBUTION/AVAILABILITY OF REPORT Approved for public release; distribution unlimited. 5. MONITORING ORGANIZATION REPORT NUMBER(S) AFOSR-TR. 8 4-1095 7a. NAME OF MONITORING ORGANIZATION

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Cited by 141 publications
(44 citation statements)
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“…The Figure 3 shows the extended stochastic Petri net (ESPN) model [15], an extension of stochastic Petri net, for the PE. Note that an ESPN is formally defined as a six-tuple (P,…”
Section: Extended Queuing Petri Net Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The Figure 3 shows the extended stochastic Petri net (ESPN) model [15], an extension of stochastic Petri net, for the PE. Note that an ESPN is formally defined as a six-tuple (P,…”
Section: Extended Queuing Petri Net Modelmentioning
confidence: 99%
“…Then, processor needs the cache coherency between L1 and L2 cache if L1 cache is updated by transferring the data through outbound queue at P 13 . Finally, the stored data at the queue are given to L2 through the outbound switch at P 15 . In this ESPN model, we consider the write-back scheme as cache update strategy.…”
Section: Extended Queuing Petri Net Modelmentioning
confidence: 99%
“…This assumption is made to allow us to use Stochastic Petri Nets (SPNs) to describe the system and to use software packages such as SPNP [3] to solve the model based on reward assignments to yield our performance measures of interest. The approach described here can be extended to Markov Regenerative Stochastic Petri Net (MRSPN) [4] or Extended Stochastic Petri Net (ESPN) [5] models in which firing times can be general distributions.…”
Section: System Modelmentioning
confidence: 99%
“…For example, a component failure in a gracefully degrading system can be linked to the firing of a transition whose rate is not necessarily subject to some random phenomenon, but whose outcome needs to be specified in terms of token generation. The extended stochastic Petri nets introduced in [13] allow firing times to belong to an arbitrary distribution and output places to be randomised, but they still require stringent restrictions, including the randomisation of transition rates.…”
Section: Introductionmentioning
confidence: 99%