1st International ICST Workshop on Metrology for Grid Networks

Research Article

Metric Induced Network Poset (MINP): A model of the network from an application point of view

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  • @INPROCEEDINGS{10.4108/gridnets.2007.2246,
        author={Laurent Bobelin and Traian Muntean},
        title={Metric Induced Network Poset (MINP): A model of the network from an application point of view},
        proceedings={1st International ICST Workshop on Metrology for Grid Networks},
        publisher={ICST},
        proceedings_a={METROGRID},
        year={2007},
        month={10},
        keywords={},
        doi={10.4108/gridnets.2007.2246}
    }
    
  • Laurent Bobelin
    Traian Muntean
    Year: 2007
    Metric Induced Network Poset (MINP): A model of the network from an application point of view
    METROGRID
    ICST
    DOI: 10.4108/gridnets.2007.2246
Laurent Bobelin1,2,3,*, Traian Muntean2,*
  • 1: CS Communications et Systèmes, 200 rue Pierre Duhem BP 389 13799 Aix-en-Provence Cedex 3 France
  • 2: Mediterranee University, Parc Scientifique de Luminy, ESIL - F-13288 Marseille Cedex France
  • 3: CPPM - Centre de Physique des Particules, de Marseille 163 avenue de Luminy - case 902 - 13288 Marseille Cedex 09 France.
*Contact email: laurent.bobelin@c-s.fr, traian.MUNTEAN@univmed.fr

Abstract

Nowadays grids connect up to thousands communicating resources that may interact in a partially or totally coordinated way. Consequently, applications running upon this kind of platform often involve massively concurrent bulk data transfers. In order to optimize overall completion times, those transfers have to be scheduled based on knowledge about network performances and topology. Identifying and inferring performances of a network topology is a classic problem. Achieving this by using only end-to-end measurements at the application level is a method known as network tomography. When topology reflects capacities of sets of links with respect to a metric, the model used to represent the topology obtained is called a Metric-Induced Network Topology (MINT). Such a type of representation, obtained using statistical methods, has been widely used in order to represent performances of client/server communication protocols. However, it is no longer accurate when dealing with grids. In this paper, we present a novel representation of the infered knowledge from multiple source and multiple destination measurements.