Networks Consolidation through Soft Computing

Authors:
Sami Habib;Paulvanna Nayaki Marimuthu;Mohammad Taha
Affiliations:
Computer Engineering Department, Kuwait University, Safat, Kuwait 13060;Computer Engineering Department, Kuwait University, Safat, Kuwait 13060;Computer Engineering Department, Kuwait University, Safat, Kuwait 13060
Venue:
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Year:
2009

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Abstract

This paper reports the application of soft computing in redesign operations on the customers' clusters (sub-networks), since many customers maybe initially located in a cluster with less intra-cluster traffic. Here we assume an existing network with reconfigurable architecture and we propose a number of redesign techniques to reduce the extra-traffic and maximize the intra-traffic within the clusters by considering customers' movement and clusters consolidation. Furthermore, the proposed search approach is based on Genetic Algorithm (GA) with an object-oriented chromosome representation. Our experimental results for a network size of 50 customers show an average of 22% reduction in the extra-traffic through the proposed redesign operations.