Summary
CATO (CAD Tool for Optical networks and interconnects) is a prototype tool for designing LAN/MAN packet-switching optical communication systems. CATO is a knowledge based tool that integrates Artificial Intelligence (AI) techniques and event driven simulation, for optimizing system cost and performance. CATO provides the user with an Optical Device Library (ODL), that contains functional and cost characteristics of the optical devices that can be used to design the optical system. The tool also supplies a user friendly Graphical User Interface (GUI) module, which allows easy specification, evaluation and optimization of the communication system under investigation. Taking into account user defined performance requirements and operational constraints of the optical communication system, CATO searches for the optimal design solution, consisting of the network topology, and the set of devices that minimize the overall system cost. By combining the device library, with AI and event driven simulation, to the best of our knowledge CATO provides the first iterative and automatic optimization procedure for the design of optical communication systems.
This research was in part supported by the NSF under Grant Numbers NCR-9596242 and NCR-9628189.
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Keywords
- Graphical User Interface
- Optical Network
- Wavelength Division Multiplex
- Optical Communication System
- User Friendly Graphical User Interface
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Special Issue on Multiwavelength Optical Technology and Networks IEEEJOSA Journal of Lightwave Technology, Vol. 14, No. 6, June 1996.
Optical Networks,IEEE Journal on Selected Areas in Communications, Vol. 14, No. 5, June 1996.
Whitlock, B. K., Computer Modeling and Simulation of Digital Lightwave Links Using iFROST, illinois FibeR-optic and Optoelectronic Systems Toolkit,M.S. Thesis, University of Illinois at Urbana-Champaign, May 1993. (Web site: http://www.ccsm.uiuc.edu/people/whitlock/ ifrost.html)
Kahn, C., Kershenbaum, A., Design of All-optical Networks by Using a CAD Tool, OFC, W03, 1995.
Gurney, P.C.R., and Lowery, A.J., Opals - A New Computer Aided Learning Package for Photonics,IEEE Conf. on Multi-Media Eng. Educ., Melbourne, Australia, July 1994, pI 15–123. (Web site: http://www.ee.mu.oz.au/papers/prl/VP/opalhtdg.htm)
Levitan, S., Marchand, P., et al., Computer-Aided Design and Simulation of Free Space Optoelectronic Information Processing Systems,University of Pittsburgh, Pittsburgh. (Web site: http://kona.ee.pitt.edu:80/steve)
Kostuk, R., Optical Interconnects and Micro-optic System Design, COEDIP Industrial Advisory Board meeting, ‘University of Arizona, Toucson, May 9–10, 1996.
Gmitro, A., Design, Fabrication, and Testing of Holographic Optical Interconnects, COEDIP Industrial Advisory Board meeting, University of Arizona, Toucson, May 9–10, 1996.
Mansuripur, M., Simulation Tools for Optoelectronic Packaging, COEDIP Industrial Advisory Board meeting, University of Arizona, Toucson, May 9–10, 1996.
Sivesind, J., XHatch Users Manual, Version 2.0,Optoelectronics Computer System Technical Report 95–04, University of Colorado at Boulder, Boulder, CO. (Web site: http://wwwocs.colorado.edu)
Welch, B., Practical Programming in Tcl and Tk,Prentice Hall, 1995. (Web site: http://ftp.neosoft.com/pub/tcl/)
Ousterhout, J.K., Tcl and the Tk Toolkit, Addison-Wesley, 3rd printing, April 1994.
Green, P.E., Fiber-Optic Networks, Prentice Hall, Englewood Cliffs, NJ, 1992.
Olshansky, R., Bugos, A.R., and Hofmeister, R.T., Multigigabit, Multichannel Lightwave Networks Using Subcarrier Multiplexing, Journal of High Speed Networks, Vol. 2, 1993, p6379.
International Organization for Standardization (ISO), Information Processing Systems - Fiber Distributed Data Interface (FDDI) - Part 2: Token Ring Media Access Control (MAC),ISO 9314–2, 1989.
Tanenbaum, A.S., Computer Networks, 2nd edition, Prentice Hall PTR, New Jersey, 1995, p160–161.
Kirkpatrick, S., Gelatt Jr, C.D., Vecchi, M.P., Optimization by Simulated Annealing, Science, Vol. 220, No. 4598, 1983, p671.
Goldberg, D.E., Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Wesley, Reading, MA, 1989.
Ingber, A.L., Adaptive Simulated Annealing (ASA),Ingber Research, McLean, VA, 1993. (Web site: http://www.ingber.com)
Ingber, A.L., Very Fast Simulated Reannealing, Mathematical Computer Modeling, Vol. 12, No. 8, 1989, p967–973.
Chardaire, P., Lutton, J.L., Using Simulated Annealing to Solve Concentrator Location Problems in Telecommunication Networks,CNET Paris, France.
Andersen, K., Iversen, V.B., Design of Teleprocessing Communication Network Using Simulated Annealing,Institute of Telecommunications, The Technical University of Denmark.
Goldberg, D.E., Korb, B., and Deb, K., Messy Genetic Algorithms: Motivation, Analysis and First Results, Computer Systems, Vol. 3, p493–530, 1989.
Deb, K., Goldberg, D.E., mGA in C: A Messy Genetic Algorithm in C,University of Illinois at Urbana-Champaign, IIIiGAL Report No. 91008, September 1991. (Web site: http://www.gal4.ge.uiuc.edu/illigal.home.html)
Ingber, A.L, Rosen, B., Genetic Algorithms and Very Fast Simulated Reannealing: A Comparison, Mathematical Computer Modeling, Vol. 16, No. 11, 1992, p87–100.
Anon., Mathematical Optimization,Hong Kong Baptist University, Department of Mathematics, Computational Science Education Project, October 1991. (Web site: http://www.math.hkbu.edu.hk/CSEP/mo/mo.html)
Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., and Teller, E., Equation of State Calculations by Fast Computing Machines, Journal of Chemistry and Physics, Vol. 21, No. 6, p1087–1092, 1953.
Holland, J., Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI, 1975.
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Chlamtac, I., Ciesielski, M., Fumagalli, A., Ruszczyk, C., Wedzinga, G. (1998). Intelligent Simulation for Computer Aided Design of Optical Networks. In: van As, H.R., Jukan, A. (eds) Optical Network Design and Modelling. ONDM 1997. IFIP Advances in Information and Communication Technology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-35361-6_6
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