Multiserver Loss Systems with Subscribers
成果类型:
Article
署名作者:
Randhawa, Ramandeep S.; Kumar, Sunil
署名单位:
University of Texas System; University of Texas Austin; Stanford University
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
DOI:
10.1287/moor.1080.0350
发表日期:
2009
页码:
142-179
关键词:
diffusion approximations
networks
LIMITS
摘要:
We study a multiserver loss system with two kinds of customers: subscribers and infrequent users. We model the infrequent users' requests for service by a Poisson process. However, noting that the Poisson process is unable to capture repeated interactions as well as retrials, we propose a Markovian on-off-hold model for the subscribers' requests for service that takes into account retrials by subscribers denied service. We analyze this system in an asymptotic regime where the number of subscribers and the arrival rate of the Poisson stream, and consequently the number of servers, grow without bound. In this regime, we identify and prove convergence to diffusion limits for the system. We also prove the convergence of the invariant distributions to the invariant distribution of the limiting diffusions.