On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Wide-area traffic: the failure of Poisson modeling
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
Fast, approximate synthesis of fractional Gaussian noise for generating self-similar network traffic
ACM SIGCOMM Computer Communication Review
Correlational and Distributional Effects in Network Traffic Models
IPDS '00 Proceedings of the 4th International Computer Performance and Dependability Symposium
A study on transformation of self-similar processes with arbitrary marginal distributions
ACSAC'06 Proceedings of the 11th Asia-Pacific conference on Advances in Computer Systems Architecture
| Hi-index | 0.00 |
Analysis of network traffic indicates that packet arrival processes have significant stochastic dependence. It has been suggested that this dependence is so strong as to be well-modeled by long-range dependent processes. The fact that no finite process can be said to be truly long-range dependent poses potentially serious obstacles to simulation modeling. In this paper, we explore some of these obstacles and propose practical methods for obtaining useful results with simulations of manageable duration.