DocumentCode :
404665
Title :
Analysis of abstract simulation via stochastic differential equation models
Author :
Wu, Yujing ; Gong, Weibo ; Towsley, Don
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
Volume :
3
fYear :
2003
fDate :
9-12 Dec. 2003
Firstpage :
2620
Abstract :
We study a queue where the rapidly varying component of input traffic is treated as a noise. The queue length statistics are compared between the cases with and without noise smoothing. This relates to abstract simulation and traffic modeling. We found that the system load and traffic burstiness at large timescales have critical impacts on the evaluation errors caused by such smoothing.
Keywords :
differential equations; queueing theory; stochastic processes; traffic; abstract simulation; evaluation errors; noise smoothing; queue length statistics; stochastic differential equation models; traffic burstiness; Analytical models; Computational modeling; Differential equations; Fluid dynamics; Signal processing; Smoothing methods; Statistics; Stochastic processes; Stochastic resonance; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-7924-1
Type :
conf
DOI :
10.1109/CDC.2003.1273018
Filename :
1273018
Link To Document :
بازگشت