Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools 2008
DOI: 10.4108/icst.valuetools2008.4347
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A Two-Queue Polling Model with Two Priority Levels in the First Queue

Abstract: In this paper we consider a single-server cyclic polling system consisting of two queues. Between visits to successive queues, the server is delayed by a random switch-over time. Two types of customers arrive at the first queue: high and low priority customers. For this situation the following service disciplines are considered: gated, globally gated, and exhaustive. We study the cycle time distribution, the waiting times for each customer type, the joint queue length distribution at polling epochs, and the st… Show more

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Cited by 12 publications
(27 citation statements)
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“…In our work we have incorporated p 1 and p 2 in equations (III.14a). In [8] we find that the term ρL 1−ρH represents the fraction of time that the server is busy with cycle started by type-L customers when there are no more type-H customers in the system. We have multiplied this probability with the fraction of type-L customers that occupies the system.…”
Section: Waiting Time Distributionmentioning
confidence: 95%
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“…In our work we have incorporated p 1 and p 2 in equations (III.14a). In [8] we find that the term ρL 1−ρH represents the fraction of time that the server is busy with cycle started by type-L customers when there are no more type-H customers in the system. We have multiplied this probability with the fraction of type-L customers that occupies the system.…”
Section: Waiting Time Distributionmentioning
confidence: 95%
“…Adan, et.al. in [8]. The authors [8] have considered all the queues including all the types of customers inside the same queue followed similar service like globally gated, gated and exhaustive.…”
Section: Related Workmentioning
confidence: 99%
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“…Once the cycle time distribution at the beginning of n-th polling epoch for type-1 customers is obtained, we can compute the LST of waiting time by following the method described in [11]. In the previous section, we have shown the computation of n-th cycle time from (n-1)-th cycle time.…”
Section: Waiting Time Distribution Of Type-1 Customersmentioning
confidence: 99%