Title :
Statistical clustering in the design of logical topologies for wide-area optical networks
Author :
Gazendam, A.D. ; Leuschner, F.W.
Author_Institution :
Pretoria Univ., South Africa
Abstract :
A novel approach based on statistical clustering, using the Ward linkage as similarity metric, is proposed for designing optical network logical topologies. The influence of the geographic distribution of network traffic, and the intra/inter cluster traffic ratios on the number and positions of wide-area network hub nodes are investigated.
Keywords :
network topology; optical fibre networks; statistical analysis; telecommunication traffic; wide area networks; Ward linkage; geographic distribution; hub nodes; inter cluster traffic; intra cluster traffic; logical topologies; similarity metric; statistical clustering; wide-area networks; wide-area optical networks; Africa; Couplings; Intelligent networks; Network topology; Optical design; Optical fiber networks; Statistical distributions; Telecommunication traffic; Traffic control; Urban areas;
Conference_Titel :
Africon Conference in Africa, 2002. IEEE AFRICON. 6th
Print_ISBN :
0-7803-7570-X
DOI :
10.1109/AFRCON.2002.1146835
