Title :
Neural Network Based Available Bandwidth Estimation in the ETOMIC Infrastructure
Author :
Hága, Peter ; Laki, Sándor ; Tóth, Ferenc ; Csabai, István ; Stéger, József ; Vattay, Gábor
Author_Institution :
Eotvos Univ. & Collegium Budapest -Inst. for Adv. Study Budapest, Budapest
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.
Keywords :
bandwidth allocation; neural nets; telecommunication computing; European Traffic Observatory Measurement Infrastructure; bandwidth estimation; multihop networks; neural network; Artificial neural networks; Bandwidth; Delay estimation; Global Positioning System; Machine learning; Mathematical model; Neural networks; Performance evaluation; Physics; Testing;
Conference_Titel :
Testbeds and Research Infrastructure for the Development of Networks and Communities, 2007. TridentCom 2007. 3rd International Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
978-1-4244-0739-2
Electronic_ISBN :
978-1-4244-0739-2
DOI :
10.1109/TRIDENTCOM.2007.4444688
