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A Quasi-random Multirate Loss Model Supporting Elastic and Adaptive Traffic

Authors:
Ioannis Moscholios
John Vardakas
Michael Logothetis
Michael Koukias

Keywords: quasi-random process; elastic-adaptive traffic; recursive formula; time-call congestion; Markov chain.

Abstract:
Nowadays, the telecom network traffic environment is composed mostly of emerging multirate services whose calls can tolerate bandwidth compression either by extending their service-time (elastic services) or not (adaptive services). The co-existence of elastic and adaptive services makes the call-level performance analysis and evaluation of modern networks much more complicated. To contribute, in this paper, we present a new multirate loss model for elastic and adaptive services with finite traffic-source population. Thus, the call arrival process is a quasi-random process which is, in many cases, a more realistic consideration than a random (Poisson) process. The proposed model does not have a product form solution, and therefore, we propose approximate but recursive formulas for the efficient calculation of the call-level performance metrics, such as time and call congestion probabilities and link utilization. The consistency and the accuracy of the new model are verified through simulation and found to be quite satisfactory.

Pages: 56 to 61

Copyright: Copyright (c) IARIA, 2012

Publication date: September 23, 2012

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-61208-239-4

Location: Barcelona, Spain

Dates: from September 23, 2012 to September 28, 2012