bandwidth allocation in self-sizing networks andré c. drummond prof. nelson l. s. da fonseca
Post on 15-Jan-2016
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![Page 1: Bandwidth Allocation in Self-Sizing Networks André C. Drummond Prof. Nelson L. S. da Fonseca](https://reader035.vdocuments.us/reader035/viewer/2022062305/56649d4e5503460f94a2e4d1/html5/thumbnails/1.jpg)
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](https://reader035.vdocuments.us/reader035/viewer/2022062305/56649d4e5503460f94a2e4d1/html5/thumbnails/2.jpg)
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](https://reader035.vdocuments.us/reader035/viewer/2022062305/56649d4e5503460f94a2e4d1/html5/thumbnails/3.jpg)
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](https://reader035.vdocuments.us/reader035/viewer/2022062305/56649d4e5503460f94a2e4d1/html5/thumbnails/4.jpg)
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](https://reader035.vdocuments.us/reader035/viewer/2022062305/56649d4e5503460f94a2e4d1/html5/thumbnails/5.jpg)
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!