A binomial measure method for traffic modeling

Authors:
Lingbo Pei;Ming Chen;Jun Zhou
Affiliations:
PLA University of Science and Technology, Nanjing China;PLA University of Science and Technology, Nanjing China;PLA University of Science and Technology, Nanjing China
Venue:
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Year:
2007

Citing 7
Cited 0

On the self-similar nature of Ethernet traffic (extended version)

IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes

Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level

IEEE/ACM Transactions on Networking (TON)
Simulation of nonGaussian long-range-dependent traffic using wavelets

SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Self-Similar Network Traffic and Performance Evaluation

Self-Similar Network Traffic and Performance Evaluation
On the relationship between file sizes, transport protocols, and self-similar network traffic

ICNP '96 Proceedings of the 1996 International Conference on Network Protocols (ICNP '96)
Long-Range Dependence: Ten Years of Internet Traffic Modeling

IEEE Internet Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

According to some discoveries and analysis results of network measurement in modern communication networks in recent years, much literature has proven that traffic present the nonstationary Poisson characteristic at sub-second time scales in IP backbone, which not accord with self-similarity characteristic for last decade. This paper presents the binomial measure method for traffic characteristic analysis. Some novel properties about the method are also discussed. The method can produces a time series with self-similarity characteristic, and more, realizes the transition from self-similarity distribution to Poisson one. The validity of the method is verified by simulation experiments on NS2. The purpose of the paper is to provide a comprehensive presentation of the binomial measure method base multifractal theory in traffic engineering field.