Title :
Approximation techniques for the analysis of large traffic-groomed tandem optical networks
Author :
Washington, Alicia Nicki ; Hsu, Chih-Chieh ; Perros, Harry ; Devetsikiotis, Michael
Author_Institution :
Dept. of Comput. Sci., NC State Univ., Raleigh, NC, USA
Abstract :
We consider a traffic-groomed optical network consisting of N nodes arranged in tandem. This optical network is modeled by a tandem queueing network of multirate loss queues with simultaneous resource possession. Two approximation methods are proposed for the analysis of this queueing network assuming that the total number of servers in each multi-rate loss queue is very large. The accuracy of these two approximation methods as well as the accuracy of the familiar link independence algorithm is verified by simulation. As an additional contribution, the simulation estimates have been obtained using adaptive rare-event simulation techniques based on importance sampling. This is because call blocking probabilities tend to be very small and it is not feasible to estimate them using standard simulation techniques.
Keywords :
computer networks; digital simulation; importance sampling; network servers; optical computing; queueing theory; adaptive rare-event simulation; approximation technique; call blocking probability; familiar link independence algorithm; importance sampling; multirate loss queue; network server; resource possession; tandem queueing network; traffic-groomed tandem optical network analysis; Approximation methods; Computer networks; Iterative algorithms; Network servers; Optical computing; Optical fiber networks; Optical losses; Queueing analysis; Telecommunication traffic; Traffic control;
Conference_Titel :
Simulation Symposium, 2005. Proceedings. 38th Annual
Print_ISBN :
0-7695-2322-6
DOI :
10.1109/ANSS.2005.13