DocumentCode
2701637
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
fYear
2005
fDate
4-6 April 2005
Firstpage
15
Lastpage
22
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Symposium, 2005. Proceedings. 38th Annual
ISSN
1080-241X
Print_ISBN
0-7695-2322-6
Type
conf
DOI
10.1109/ANSS.2005.13
Filename
1401947
Link To Document