Conflict resolution in cooperative design
Conflict resolution in cooperative design
Data networks (2nd ed.)
Topological design of local-area networks using genetic algorithms
IEEE/ACM Transactions on Networking (TON)
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Toward an optimization-driven framework for designing and generating realistic Internet topologies
ACM SIGCOMM Computer Communication Review
Performance-driven Design and Redesign of High-speed Local Area Networks
HIPC '98 Proceedings of the Fifth International Conference on High Performance Computing
A first-principles approach to understanding the internet's router-level topology
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
A genetic algorithm for designing distributed computer networktopologies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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We present a redesign methodology that automatically redesigns a network topology while considering the different network technology interfaces. The network redesign problem is to preserve as many as possible of the network devices within the original network topology to satisfy the redesign factors while minimizing the redesign cost and time. The redesign factors can be various parameters that are involved in the design of a network topology, such as the workload and number of clients. In this paper we used a uniform growth of the network workload as the main factor for topology redesign; moreover, our methodology attempts to maintain as many as possible of the network devices within the original topology while satisfying the extra growth of the clients' loads. We formulated the network redesign problem as an optimization problem and used an evolutionary approach to search the redesign space. The experimental results for a three-level network redesign problem described here demonstrate how valuable the redesign methodology is in finding good solutions with low redesign cost and short redesign time for an enterprise networks consisting of 65 client nodes.