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