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Countable-state-space Markov chains with two time scales and applications to queueing systems
Yin, G; Zhang, HQ
2002-09-01
发表期刊ADVANCES IN APPLIED PROBABILITY
ISSN0001-8678
卷号34期号:3页码:662-688
摘要Motivated by various applications in queueing systems, this work is devoted to continuous-time Markov chains with countable state spaces that involve both fast-time scale and slow-time scale with the aim of approximating the time-varying queueing systems by their quasistationary counterparts. Under smoothness conditions on the generators, asymptotic expansions of probability vectors and transition probability matrices are constructed. Uniform error bounds are obtained, and then sequences of occupation measures and their functionals are examined. Mean square error estimates of a sequence of occupation measures are obtained; a scaled sequence of functionals of occupation measures is shown to converge to a Gaussian process with zero mean. The representation of the variance of the limit process is also explicitly given. The results obtained are then applied to treat M(t)/M(t)/1 queues and Markov-modulated fluid buffer models.
关键词Markov chain singular perturbation countable state space asymptotic expansion occupation measure functional central limit theorem M(t)/M(t)/1 queue fluid model
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000178811500011
出版者APPLIED PROBABILITY TRUST
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/17691
专题应用数学研究所
通讯作者Yin, G
作者单位1.Wayne State Univ, Dept Math, Detroit, MI 48202 USA
2.Acad Sinica, Acad Math & Syst Sci, Inst Appl Math, Beijing 100080, Peoples R China
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Yin, G,Zhang, HQ. Countable-state-space Markov chains with two time scales and applications to queueing systems[J]. ADVANCES IN APPLIED PROBABILITY,2002,34(3):662-688.
APA Yin, G,&Zhang, HQ.(2002).Countable-state-space Markov chains with two time scales and applications to queueing systems.ADVANCES IN APPLIED PROBABILITY,34(3),662-688.
MLA Yin, G,et al."Countable-state-space Markov chains with two time scales and applications to queueing systems".ADVANCES IN APPLIED PROBABILITY 34.3(2002):662-688.
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