MINTCar : A tool for multiple source multiple destination network tomography

Laurent Bobelin (1)

1 LIP - Laboratoire de l'Informatique du Parallélisme

Identifying and inferring performances of a network topology is a well known problem. Achieving this by using only end-to-end measurements at the application level is known as network tomography. When the topology produced reflects capacities of sets of links with respect to a metric, the topology is called a Metric-Induced Network Topology (MINT). Tomography producing MINT has been widely used in order to predict performances of communications between clients and server. 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. This implies that the client/server model is no longer valid. In this paper, we present MINTCar, a tool which is able to discover metric induced network topology using only end-to-end measurements for paths that do not necessarily share neither a common source nor a common destination.

Mots clés: network topology discovery; bandwidth; network tomography; grid

Domaines: Réseaux et télécommunications [cs.NI]; Calcul parallèle, distribué et partagé [cs.DC]

Laurent Bobelin. MINTCar : A tool for multiple source multiple destination network tomography. 2nd IEEE International Workshop on Internet and Distributed Computing Systems (IDCS'09), Dec 2009, jeju island, South Korea. ⟨hal-00538330⟩