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Titlebook: Queueing Theory and Network Applications; 14th International C Tuan Phung-Duc,Shoji Kasahara,Sabine Wittevrongel Conference proceedings 201

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樓主: corrode
21#
發(fā)表于 2025-3-25 04:27:38 | 只看該作者
A Coupling-Based Analysis of a Multiclass Retrial System with State-Dependent Retrial Ratesr joins orbit .. Orbit . is working as a FIFO-type queueing system, in which the top customer retries to occupy server. The retrial times are exponentially distributed with a rate depending on the current configuration of the binary states of all orbits, . or .. We present a new coupling-based proof
22#
發(fā)表于 2025-3-25 07:30:42 | 只看該作者
23#
發(fā)表于 2025-3-25 12:48:32 | 只看該作者
Controlled M/M/1-RQ System with Randomized Acceptance from the Orbitacceptance policy: a retrial request from the orbit is accepted by the server with a probability depending on the number in the orbit. Such a policy can be used to give preference in service to newcomers. The queuing process is modelled as a continuous-time countable Markov process. For its embedded
24#
發(fā)表于 2025-3-25 16:20:53 | 只看該作者
Analysis of Retrial Queues for Cognitive Wireless Networks with Sensing Time of Secondary Userstem using a single server retrial queueing model. In the conventional retrial queue, if a customer cannot find an idle channel, he joins the orbit and retries to occupy a channel. The new feature of our model is that every arriving Secondary User first enters the orbit. He starts to sense the channe
25#
發(fā)表于 2025-3-25 23:12:00 | 只看該作者
/,/1 Queue with Controllable Service Rater service completion. These changes in service rate are controlled by probabilities depending on the actual number of customers and the actual service rate. The dependency on the number of customers follows a specific power form, while the dependency on actual service rate is general and independent
26#
發(fā)表于 2025-3-26 00:24:50 | 只看該作者
27#
發(fā)表于 2025-3-26 07:09:03 | 只看該作者
28#
發(fā)表于 2025-3-26 09:28:23 | 只看該作者
A Closed Queueing Network with Strategic Service Differentiationhooses to obtain a high rate or a low rate service, and then the customer is active for an exponentially distributed period of time with a given high or low rate, respectively, and returns to the queue to be served again. Customers strategically choose a service type in order to maximize their long-
29#
發(fā)表于 2025-3-26 12:37:56 | 只看該作者
30#
發(fā)表于 2025-3-26 19:27:19 | 只看該作者
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