Research Article
Neural Network Based Available Bandwidth Estimation in the ETOMIC Infrastructure
@INPROCEEDINGS{10.1109/TRIDENTCOM.2007.4444688, author={P\^{e}ter H\^{a}ga and S\^{a}ndor Laki and Ferenc T\^{o}th and Istv\^{a}n Csabai and J\^{o}zsef St\^{e}ger and G\^{a}bor Vattay}, title={Neural Network Based Available Bandwidth Estimation in the ETOMIC Infrastructure}, proceedings={3rd International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom)}, publisher={IEEE}, proceedings_a={TRIDENTCOM}, year={2008}, month={2}, keywords={}, doi={10.1109/TRIDENTCOM.2007.4444688} }- Péter Hága
Sándor Laki
Ferenc Tóth
István Csabai
József Stéger
Gábor Vattay
Year: 2008
Neural Network Based Available Bandwidth Estimation in the ETOMIC Infrastructure
TRIDENTCOM
IEEE
DOI: 10.1109/TRIDENTCOM.2007.4444688
Abstract
Efficient and reliable available bandwidth measurement remains an important goal for many applications. In this paper we introduce an empirical bandwidth estimation tool based on neural networks. Training the neural network on simulation data, it provides reliable estimation of physical and available bandwidth for simulated single and multi-hop networks, in laboratory environment and among the real world conditions of the ETOMIC testbed.
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