Optimization of Value-Network through Clusters Consolidation

Many researchers view the value of the enterprise network through its utilization. If the network utilization is low, then its economical value and benefit are diminished. Also, the rapidly changes in network technologies, customers' demands and economical factors increase the opportunity for viewing the network as a dynamic infrastructure, so that its values can be adapted accordingly. Based on these views periodical changes in networks necessitate in the reshaping the clusters (sub-networks). Here we have proposed a number of redesign operations on the customers' clusters, which are sub-networks in the valuenetwork, with the aware to minimize the extra-traffic in the backbone network, and maximize the intra-traffic within the clusters by considering customers' movement and clusters consolidation. We have utilized Simulated Annealing algorithm to search for the best solution to the clusters consolidation problem. Our simulation results show a better trade-off in minimizing the extra-traffic through clusters consolidation by 11.65% of the total backbone traffic and 40% in the number of clusters.