CANCCOM Complex Adaptive Networks for Computing and Communication |
SYSTEMS AND
COMPUTER ENGINEERING SCHOOL OF COMPUTER SCIENCE MATHEMATICS AND STATISTICS Carleton University |
The
growing complexity of high-speed networks makes the incorporation of advanced mathematical
methodology important for achieving efficient designs.Future high-speed networks
involve designing topologies which are optimized with respect to costs within the limits
of physical constraints, testing for interface compatibility, allocation of resources
under both normal and abnormal conditions. In order to achieve the required performance
characteristics, these networks must be adaptive, learning networks and require a major
conceptual and technological advance over the current generation of networks that will be:
robust, reliable, scalable and easy to use and operate.
This project brings together a team
of mathematicians, computer scientists and computer and systems engineers to develop a
joint research effort with industrial partners to develop innovative approaches to these
problems.
Inter-disciplinary Research: The project is based at Carleton University where we have already formed an interdisciplinary research group (Center for Advanced Studies in Computing and Communication-CASCC). This group has been formed in order to develop a large scale research effort on the emerging problems in communications and computing networks. Project Leader: Professor Mike Devetsikiotis (in cooperation with E. Kranakis and I. Lambadaris), Carleton University, Department of Systems and Computer Engineering, Ottawa, Ontario, K1S 5B6, Canada.mike@sce.carleton.ca, phone: (613) 520 5730, fax: (613) 520 5727. Industrial Partners: Nortel Networks, Cognos
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