Topological design of local-area networks using genetic algorithms
IEEE/ACM Transactions on Networking (TON)
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
Synthesis and optimization of application-specific intranets
Synthesis and optimization of application-specific intranets
Synthesis of a communication net
IBM Journal of Research and Development
A genetic algorithm for designing distributed computer networktopologies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Producing content producers [computer animation]
IEEE Communications Magazine
Topological analysis of packet networks
IEEE Journal on Selected Areas in Communications
Joint optimization of data network design and facility selection
IEEE Journal on Selected Areas in Communications
END: an expert network designer
IEEE Network: The Magazine of Global Internetworking
Network topology redesigns through a soft computing
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
A Monte Carlo simulator for evaluating server placement within network topology designs
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Case studies of network designs with technology considerations
Computer Communications
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This paper describes the use of i-CAD, a prototype tool for automatically synthesizing application specific intranets. i-CAD is a novel intranet computer-aided design software tool, and its ultimate goal is to concurrently design hierarchical network topologies and data management (content distribution) systems for data-intensive multimedia intranets. The prototype software tool introduced here synthesizes a three-level intranet architecture that entails minimal installation cost and yet enables all an intranet's clients to perform their tasks with acceptable performance. The tool chooses network technologies (hardware resources and protocols) based on requirements specified by the user and determines the topology. An evolutionary approach is used to search the design space for a minimal cost three-level network. The experimental results for several network design problems described here indicate the effectiveness of the prototype network tool in finding good designs from a large design space in a reasonable amount of time.