The influence of self-similar traffic on telecommunication network queuing

Authors:
Evgeniya Gospodinova;Mitko Gospodinov
Affiliations:
-;-
Venue:
CompSysTech '09 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Year:
2009

Citing 5
Cited 0

Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level

IEEE/ACM Transactions on Networking (TON)
Fast, approximate synthesis of fractional Gaussian noise for generating self-similar network traffic

ACM SIGCOMM Computer Communication Review
Self-Similar Processes in Telecommunications

Self-Similar Processes in Telecommunications
Wavelet analysis of long-range-dependent traffic

IEEE Transactions on Information Theory
A wavelet-based joint estimator of the parameters of long-range dependence

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

The self-similar network traffic influence on the telecommunication queuing systems with infinite and finite buffer sizes in terms of the average queuing size and buffer overflow probability is investigated in this paper. The obtained results show that the average queue length and overflow probability of queuing systems with self-similar input traffic are much higher than the classical queuing systems. The investigated parameters are much higher, when the degrees of self-similarity (Hurst parameter) increase. The results confirm that self-similar traffic has serious implication on telecommunication network queuing.