Evaluation of Different Path Composition Approaches to Multicast Optimization with Fuzzy Sets
[ 1 ] Katedra Sieci Telekomunikacyjnych i Komputerowych, Wydział Elektroniki i Telekomunikacji, Politechnika Poznańska | [ P ] employee
2013
scientific article
english
- optimization
- multicast
- fuzzy sets
- routing
EN Nowadays, the variety of types of traffic transmitted over a single medium increases rapidly. The problem of finding the shortest path and the minimum cost multicast tree for the Internet topology can no longer be easily defined as there is an increasing number of different traffic characteristics. Therefore, in the mathematical models used to solve modern routing problems multiple criteria must be taken into account. One of the interesting classes of the optimization problem is the problem of finding a solution that is minimized against one of the criteria under certain constraints with regard to the others. Such a variety of parameters complicate the research methodology and, accordingly, it seems necessary to find a fast and reliable methods that evaluate routing algorithms. In this article, different algorithms that are based on different interpretations of the path composition are evaluated and compared. A new technique – the Aggregated MLARAC is proposed and described. Two different ways of the algorithm performance evaluation have been utilized in order to present different aspects of the considered algorithms. The article also presents a proposal of a new methodology that would evaluate multiconstrained multicast routing algorithms in packet-switched networks with an application of fuzzy sets theory.
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