bandwidth allocation in self-sizing networks andré c. drummond prof. nelson l. s. da fonseca

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Bandwidth Allocation in Self-Sizing Networks André C. Drummond Prof. Nelson L. S. da Fonseca

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Page 1: Bandwidth Allocation in Self-Sizing Networks André C. Drummond Prof. Nelson L. S. da Fonseca

Bandwidth Allocation in Self-Sizing Networks

Bandwidth Allocation in Self-Sizing Networks

André C. Drummond

Prof. Nelson L. S. da Fonseca

Page 2: Bandwidth Allocation in Self-Sizing Networks André C. Drummond Prof. Nelson L. S. da Fonseca

Measurement Based Equivalent Bandwidth Estimators Evaluation

Measurement Based Equivalent Bandwidth Estimators Evaluation

FEP – Fractal Brownian Motion Envelope Process based Estimator:

GA – Gaussian Approximation Allocation Estimator:

Page 3: Bandwidth Allocation in Self-Sizing Networks André C. Drummond Prof. Nelson L. S. da Fonseca

Numeric Results – FEP vs GA Estimative

Numeric Results – FEP vs GA Estimative

Voice (Exponential)

● 400 fonts● 12 Mbps● Hurst 0.6

Data (Pareto)

● 15 Mbps● Hurst 0.75

Video (Real traces)

● 180 fonts● 75 Mbps● Hurst 0.9

FEP is robust and better adapts to different network scenario!

Page 4: Bandwidth Allocation in Self-Sizing Networks André C. Drummond Prof. Nelson L. S. da Fonseca

Bandwidth Allocation in Self-Sizing Networks

Bandwidth Allocation in Self-Sizing Networks

The Band Partitioning Problem inherits some uncertainties:● Bandwidth estimators uncertainties;● Network traffic fluctuations;

A Multi-Objective Fuzzy Optimization Model was proposed.

Page 5: Bandwidth Allocation in Self-Sizing Networks André C. Drummond Prof. Nelson L. S. da Fonseca

Numeric Results – Classic vs Fuzzy ModelNumeric Results – Classic vs Fuzzy Model

Fuzzy model packet loss values are 54% lower.

Fuzzy model delay values are 33% lower.

Fuzzy model allocates more 9% of link capacity.

The Fuzzy Model provides more flexibility to cope with sudden increases on traffic!