3rd International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom)

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
Péter Hága1,*, Sándor Laki1,*, Ferenc Tóth1,*, István Csabai1,*, József Stéger1,*, Gábor Vattay1,*
  • 1: Department of Physics of Complex Systems, Eotvos University and Collegium Budapest – Institute for Advanced Study, Budapest, Hungary
*Contact email: haga@complex.elte.hu, laki@complex.elte.hu, toth@complex.elte.hu, csabai@complex.elte.hu, steger@complex.elte.hu, vattay@complex.elte.hu

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.