Packet Loss Probability Approximation in High-Speed Networks Based on Self-Similar Traffic

Authors:
Armita Afsharinejad;Abolfazl T. Haghighat
Affiliations:
-;-
Venue:
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Year:
2009

Citing 2
Cited 0

Loss probability calculations and asymptotic analysis for finite buffer multiplexers

IEEE/ACM Transactions on Networking (TON)
Design of new real-time models for tight upper bound approximation of cell loss ratio in ATM networks

Computer Communications

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Abstract

As the Packet/Cell Loss Ratio (PLR/CLR) is counted as one of the major Quality of Service (QoS) requirements; in this paper we proposed a linear upper bound expression for the loss probability approximation in high-speed communication network technologies. These technologies can support multiple classes of traffic with different QoS requirements and diverse traffic characteristics, by the use of traffic multiplexing. The proposed expression can be calculated in real-time, so it can be properly used in the network multiplexers. Based on the fact that in many cases, the real traffic in high-speed networks shows a self-similar behavior, we have used self-similar traffic with Pareto distribution as the input traffic model in our PLR approximation simulations. We have studied application of this expression in non-homogeneous as well as homogeneous cases.