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Path Bandwidth Management for Large Scale Telecom Networks
Michael D. LOGOTHETIS George K. KOKKINAKIS
Publication
IEICE TRANSACTIONS on Communications
Vol.E83B
No.9
pp.20872099 Publication Date: 2000/09/25
Online ISSN:
DOI:
Print ISSN: 09168516 Type of Manuscript: PAPER Category: Network Keyword: bandwidth allocation, calllevel traffic, largescale networks, call blocking probability, optimization,
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Summary:
This paper presents a Path Bandwidth Management (PBM) model for largescale networks that leads to an almost optimal PB allocation, under constraints posed by the installed bandwidth in the transmission links of the network. The PB allocation procedure is driven from a traffic demand matrix and consists of three phases. In the first phase, a suitable decomposition of the whole network takes place, where the largescale network is split to a set of onelevel subnetworks. In the second phase, the optimization algorithm developed for onelevel telecommunication networks is applied to each subnetwork in order to define the optimal PB allocation. The criterion for optimization is to minimize the worst Call Blocking Probability (CBP) of all switching pairs of the subnetwork. In the third phase, composition of the subnetworks takes place in a successive way, which leads to the final PB allocation of the largescale network. As the largescale network is built up from optimized subnetworks, an almost optimal PB allocation is anticipated. For evaluation, the worst resultant CBP of the proposed scheme is compared with that obtained by the optimal PB allocation procedure in order to prove its optimality and efficiency. We choose a set of largescale networks whose size is not very large so that we can apply the optimization algorithm developed for onelevel telecom networks for defining its optimal bandwidth allocation. Extensive evaluation of the PBM model has showed that the worst resultant CBP is about 2% above the optimal value, which is a satisfactory result. The proposed PBM scheme is explained by means of an application example.

