An Erlang multirate loss model supporting elastic traffic under the threshold policy

Moscholios, Ioannis, Logothetis, Michael, Boucouvalas, Anthony and Vassilakis, Vassilios (2015) An Erlang multirate loss model supporting elastic traffic under the threshold policy. In: 2015 IEEE International Conference on Communications (ICC), 08-12 June 2015, London, UK.

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In this paper, we propose a multirate teletraffic loss model of a single link with certain bandwidth capacity that accommodates Poisson arriving calls, which can tolerate bandwidth compression (elastic traffic), under the threshold policy. When compression occurs, the service time of new and in-service calls increases. The threshold policy provides different QoS among service-classes by limiting the number of calls of a service-class up to a pre-defined threshold, which can be different for each service-class. Due to the bandwidth compression mechanism, the steady state probabilities in the proposed model do not have a product form solution. However, we approximate the model by a reversible Markov chain, and prove recursive formulas for the calculation of call blocking probabilities and link utilization. The accuracy of the proposed formulas is verified through simulation and found to be very satisfactory.

Item Type: Conference or Workshop Item (Paper)
ISSN: 1550-3607
ISBN: 9781467364324
Identifier: 10.1109/ICC.2015.7249293
Page Range: pp. 6092-6097
Identifier: 10.1109/ICC.2015.7249293
Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Bandwidth, Numerical models, Quality of service, Analytical models, Reliability, Mathematical model, Simulation
Subjects: Computing
Depositing User: Vasileios Vasilakis
Date Deposited: 05 Aug 2016 21:00
Last Modified: 28 Aug 2021 07:21


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