Analytical Estimation of Self-Similar Wireless Traffic Relaxation Time and Hurst Coefficient Dependence

Yeryomin, Roman; Pētersons, Ernests

doi:10.5755/j01.eee.108.2.139

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2011

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“…Authors used (3) in their latest research [4] and showed that system relaxation time serving self-similar traffic can be well approximated by the logistic curve.…”

Section: Logistic Curve and Logistic Ma Pmentioning

confidence: 99%

Generating self-similar traffic for wireless network simulation

Yeryomin

Pētersons

2011

2011 Baltic Congress on Future Internet and Communications

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It was shown many times by different researches that computer network traffic tends to be self-similar. High self similarity degree has great impact on network routers, switches and wireless access points reducing their capability to process requests. This is why it is important to have simulation models for self-similar traffic. In this article authors propose new method for time sequence generation with high degree of self similarity.

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“…Authors used (3) in their latest research [4] and showed that system relaxation time serving self-similar traffic can be well approximated by the logistic curve.…”

Section: Logistic Curve and Logistic Ma Pmentioning

confidence: 99%

Generating self-similar traffic for wireless network simulation

Yeryomin

Pētersons

2011

2011 Baltic Congress on Future Internet and Communications

View full text Add to dashboard Cite

show abstract

Analytical Estimation of Self-Similar Wireless Traffic Relaxation Time and Hurst Coefficient Dependence

Cited by 1 publication

References 3 publications

Generating self-similar traffic for wireless network simulation

Generating self-similar traffic for wireless network simulation

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