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The model is a service system, consisting of several large server pools. A server processing speed and buffer size (which may be finite or infinite) depend on the pool. The input flow of customers is split equally among a fixed number of routers, which must assign customers to the servers immediately upon arrival. We consider an asymptotic regime in which the customer total arrival rate and pool sizes scale to infinity simultaneously, in proportion to a scaling parameter $n$, while the number of routers remains fixed. We define and study a multi-router generalization of the pull-based customer assignment (routing) algorithm PULL, introduced in [11] for the single-router model. Under PULL algorithm, when a server becomes idle it send a "pull-message" to a randomly uniformly selected router; each router operates independently -- it assigns an arriving customer to a server according to a randomly uniformly chosen available (at this router) pull-message, if there is any, or to a randomly uniformly selected server in the entire system, otherwise. Under Markov assumptions (Poisson arrival process and independent exponentially distributed service requirements), and under sub-critical syst

Author

Stolyar, Alexander

Published

2015

Language

EN