Performance of Communication Systems: A Model-Based Approach by Alexander Ost

By Alexander Ost

This booklet offers an in depth method of aid the making plans and optimization approach for contemporary conversation networks. in accordance with an research of the main homes of recent community architectures, a collection of necessities for such ways is derived. A model-based functionality evaluate procedure is advised, the place highly-efficient matrix-geometric equipment are hired so that it will stay clear of the drawbacks of present numerical and simulative techniques. The publication incorporates a thorough survey and an in depth comparability of state of the art numerical algorithms within the matrix-geometric box. A high-level modeling procedure in keeping with stochastic Petri nets is constructed as a way to simplify the specification of advanced versions. to demonstrate the procedure, numerous case reviews are offered, protecting program components from ATM networks to world-wide-web site visitors and TCP/IP networking.

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Even though faster execution is possible nowadays due to the availability of cheaper and faster computer hardware (the study has been performed in 1994), this clearly underlines that a simulation-based approach is not feasible for the evaluation of large telecommunication networks, especially if optimizations are to be performed on top of a basic performance evaluation environment. In [199], a comprehensive analytical framework for the performance evaluation of SS7 networks has been presented. The solution approach is based on decomposition, and network-wide end-to-end measures are determined in three steps.

W} the vector u(w) E {O,1}M denotes which building blocks are involved. , due to dialing). 1. 2 Model Evaluation In a first step, the total rate of requests to a virtual service device has to be calculated. This is accomplished by considering the rate at which services are invoked, the probability of entering a particular building block used by the service, and the number of requests to virtual service devices in that building block. As pes) holds the building block probabilities for a service, the product p(s)R yields the mean number of invocations of the individual virtual service devices by service s.

The set of requirements which has been derived was therefore mainly motivated by technical and architectural issues. The purpose of this chapter is two-fold. First, we aim to assess the requirements to appropriate modeling and evaluation techniques from a practitioner's point of view, and to validate these requirements against those identified in the previous chapter. To accomplish this, a cooperation has been established with an industrial partner who is actively involved in the modern telecommunications market.

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