Simulated annealing: theory and applications
Simulated annealing: theory and applications
Topological design of local-area networks using genetic algorithms
IEEE/ACM Transactions on Networking (TON)
Performance-driven Design and Redesign of High-speed Local Area Networks
HIPC '98 Proceedings of the Fifth International Conference on High Performance Computing
On-Line Realignment of Clients in Networked Databases
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Multicast tree rearrangement to recover node failures in overlay multicast networks
Computers and Operations Research
Load-driven neighbourhood reconfiguration of Gnutella overlay
Computer Communications
Dynamic cache reconfiguration strategies for cluster-based streaming proxy
Computer Communications
Design of heterogeneous traffic networks using simulated annealing algorithms
ICOIN'05 Proceedings of the 2005 international conference on Information Networking: convergence in broadband and mobile networking
Optimizing network performance and carbon offset through opportunistic reclustering
Concurrency and Computation: Practice & Experience
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Nowadays many network administrators and customers are anticipating the network infrastructure to be adaptable to changes so that networks can provide better services. The existing network should be viewed as a fluid infrastructure, which has unproblematic setup to carry out redesigns. Here we have proposed a number of redesign techniques on the customers' clusters (sub-networks), since many customers maybe initially located in a cluster with less intra-cluster communications. Such customers increase the traffic on the backbone network. Thus we have proposed an optimization re-clustering problem to reduce the extra-traffic and maximize the intra-traffic within the clusters by considering customers' movement and clusters consolidation. We have utilized Simulated Annealing (SA) algorithm to search for the best solution to the re-clustering problem. Our simulation results show a better trade-off in minimizing the extra-traffic through clusters consolidation.