Design and Bandwidth Allocation of Embedded ATM Networks using Genetic Algorithm
In this paper, genetic algorithm (GA) is proposed for
the design of an optimization algorithm to achieve the bandwidth
allocation of ATM network. In Broadband ISDN, the ATM is a highbandwidth;
fast packet switching and multiplexing technique. Using
ATM it can be flexibly reconfigure the network and reassign the
bandwidth to meet the requirements of all types of services. By
dynamically routing the traffic and adjusting the bandwidth
assignment, the average packet delay of the whole network can be
reduced to a minimum. M/M/1 model can be used to analyze the
performance.
[1] William Stallings, Integrated Services Digital Networks (ISDNJ)
Computer Society Press, 1998.
[2] S.E. Minzer, "Broadband ISDN and Asynchronous Transfer Mode
(ATM)," IEEE Communications Magazine, pp.17- 57, September 1998.
[3] D.E. Goldberg, Genetic Algorithms in search Optimization and Machine
Learning, Addison-Wesley Publishing Company INC., 1989.
[4] J. Grefenstette, R. Gopal, B. Rosmaita, D.V. Gucht, "Genetic
Algorithms for the Traveling Salesman Problem," Proceeding of an
International Conference on Genetic Algorithms and Their Application,
pp.160-168. 1995.
[5] Goldberg, "Genetic Algorithms and Rule Learning in Dynamic System
Control," Proceeding of an International Conference on Genetic
Algorithms and Their Application, pp.8-15, 2000.
[6] J.A.S. Monteiro and R. Pazos, "Topology Design and Bandwidth
Allocation in ATM Nets," IEEE Journal on Selected Areas in
Communications, Vol. 7, No. 8, pp. 1253- 1262, October 1999.
[7] Hong P. and Wang I. "The bandwidth allocation of ATM through
genetic algorithm" GOLBECOM 91, pp 4.4.1-4.4.5, 1991.
[1] William Stallings, Integrated Services Digital Networks (ISDNJ)
Computer Society Press, 1998.
[2] S.E. Minzer, "Broadband ISDN and Asynchronous Transfer Mode
(ATM)," IEEE Communications Magazine, pp.17- 57, September 1998.
[3] D.E. Goldberg, Genetic Algorithms in search Optimization and Machine
Learning, Addison-Wesley Publishing Company INC., 1989.
[4] J. Grefenstette, R. Gopal, B. Rosmaita, D.V. Gucht, "Genetic
Algorithms for the Traveling Salesman Problem," Proceeding of an
International Conference on Genetic Algorithms and Their Application,
pp.160-168. 1995.
[5] Goldberg, "Genetic Algorithms and Rule Learning in Dynamic System
Control," Proceeding of an International Conference on Genetic
Algorithms and Their Application, pp.8-15, 2000.
[6] J.A.S. Monteiro and R. Pazos, "Topology Design and Bandwidth
Allocation in ATM Nets," IEEE Journal on Selected Areas in
Communications, Vol. 7, No. 8, pp. 1253- 1262, October 1999.
[7] Hong P. and Wang I. "The bandwidth allocation of ATM through
genetic algorithm" GOLBECOM 91, pp 4.4.1-4.4.5, 1991.
@article{"International Journal of Electrical, Electronic and Communication Sciences:50752", author = "H. El-Madbouly", title = "Design and Bandwidth Allocation of Embedded ATM Networks using Genetic Algorithm", abstract = "In this paper, genetic algorithm (GA) is proposed for
the design of an optimization algorithm to achieve the bandwidth
allocation of ATM network. In Broadband ISDN, the ATM is a highbandwidth;
fast packet switching and multiplexing technique. Using
ATM it can be flexibly reconfigure the network and reassign the
bandwidth to meet the requirements of all types of services. By
dynamically routing the traffic and adjusting the bandwidth
assignment, the average packet delay of the whole network can be
reduced to a minimum. M/M/1 model can be used to analyze the
performance.", keywords = "Bandwidth allocation, Genetic algorithm, ATMNetwork, packet delay.", volume = "1", number = "8", pages = "1098-4", }