2012
DOI: 10.1209/0295-5075/100/30005
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Cited by 1 publication
(2 citation statements)
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“…We compare the results obtained with our accurate SemiMarkov decision process model to the Continuous-time Markov decision process results [13]. CTMDP assumes that all state transitions are exponentially distributed, including the transitions between the active and LPidle or standby states that are better described by uniform distribution.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We compare the results obtained with our accurate SemiMarkov decision process model to the Continuous-time Markov decision process results [13]. CTMDP assumes that all state transitions are exponentially distributed, including the transitions between the active and LPidle or standby states that are better described by uniform distribution.…”
Section: Resultsmentioning
confidence: 99%
“…Thus the model becomes event-driven which is more appropriate for the event-driven environment found on most computers and embedded systems. In contrast with the Continuoustime Markov decision process (CTMDP) [13] where the times spent in a state are exponentially distributed,e Tbe Semi-Markov decision process allows the time between transitions to follow arbitrary probability distribution. The next section introduces the theoretical background of the SMDP.…”
Section: Related Workmentioning
confidence: 99%