2002
DOI: 10.1081/stm-120014218
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A Unified Queue Length Formula for Bmap/G/1 Queue With Generalized Vacations

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Cited by 38 publications
(28 citation statements)
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“…However, it seems difficult to give a stochastic interpretation to the matrix part. Reference [3] shows that a similar matrix-type factorization also holds in the BMAP/G/1 queue with generalized vacations.…”
Section: Introductionmentioning
confidence: 99%
“…However, it seems difficult to give a stochastic interpretation to the matrix part. Reference [3] shows that a similar matrix-type factorization also holds in the BMAP/G/1 queue with generalized vacations.…”
Section: Introductionmentioning
confidence: 99%
“…Lee et al (2001) and Chang et al (2002) showed that the vector generating functions (GF) of the queue length at an arbitrary time and at an arbitrary departure in the BMAP/G/1 queues with generalized vacations is decomposed into two parts, one of which is the queue length vector GF at an arbitrary point of time during the idle period. To be more specific they proved the following types of decompositions:…”
mentioning
confidence: 99%
“…The studies on MAP(BMAP)/G/1 queues with vacations and/or control policies can be found in Chang et al (2002), Lee and Ahn (2002), Lee et al (2001Lee et al ( , 2003, Lee and Baek (2005) and Lee and Song (2004). Lee et al (2001) and Chang et al (2002) showed that the vector generating functions (GF) of the queue length at an arbitrary time and at an arbitrary departure in the BMAP/G/1 queues with generalized vacations is decomposed into two parts, one of which is the queue length vector GF at an arbitrary point of time during the idle period.…”
mentioning
confidence: 99%
“…Chang et al [8] provided a factorization formula for the BM AP/G/1 queue with generalized vacations:…”
Section: Theorem 1 the Following Relation Holds For The Vector Gf Ofmentioning
confidence: 99%
“…Chang and Takine [7] applied the factorization property (presented by Chang et al [8]) to get analytical results for queueing models of M/G/1-type with or without vacations using exhaustive discipline. The factorization property states that the vector probability-generating function (vector PGF or vector GF) of the stationary queue length is factored into two PGFs of proper random variables.…”
Section: Introductionmentioning
confidence: 99%