Management Science · 1989 · 23 citations · 18 references
BusinessComputer ScienceProbability TheoryQueuing TheoryStochastic ProcessesPriority QueuesQueue DisciplineQueueing AnalysisQueueing ProcessesQueueing SystemsQueueing TheoryMulti-server Priority QueuesPoisson ArrivalsPriority QueueingPriority Queueing ModelsQueueing ModelsService Completion ProcessesStochastic Arrival ProcessesWaiting Time Distributions
We consider a multi-priority, N-server, Poisson arrival, nonpreemptive queue, motivated by police applications. The number of servers requested by an arrival has a known priority dependent probability distribution. All servers requested by a customer must start service simultaneously; the servers' service times are independent and exponentially distributed with parameter μ, independent of priority, server identity or system state. In order to save available servers for higher priority customers, arriving customers of each lower priority are deliberately queued whenever the number of servers busy equals or exceeds a given priority-dependent cutoff number. Whenever all higher priority queues are empty, the longest waiting priority i customer will enter service the instant there is a service completion from a state having precisely N i − k + 1 servers busy, where k is the number of servers requested by the customer and N i is the server cutoff number for priority i. The queueing discipline is in a sense HOL by priorities. We derive the priority i waiting time distribution (in transform domain) and other system statistics. Illustrative computational results are given.
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Keith Bush, John G. Kemeny, J. Laurie Snell · American Mathematical Monthly · 1960 · 1.6K citations
Poisson Arrivals See Time Averages
Ronald W. Wolff · Operations Research · 1982 · 1.2K citations
Introduction to the Theory of Queues.
G. F. Newell, Lajos Takács · American Mathematical Monthly · 1963 · 981 citations