Identifying Logical Homogeneous Clusters for Efficient Wide-area   Communications
  Recently, many works focus on the implementation of collective communication operations adapted to wide area computational systems, like computational Grids or global-computing. Due to the inherently heterogeneity of such environments, most works separate "clusters" in different hierarchy levels. to better model the communication. However, in our opinion, such works do not give enough attention to the delimitation of such clusters, as they normally use the locality or the IP subnet from the machines to delimit a cluster without verifying the "homogeneity" of such clusters. In this paper, we describe a strategy to gather network information from different local-area networks and to construct "logical homogeneous clusters", better suited to the performance modelling. 
Luiz Angelo Barchet-Estefanel (ID - Imag, Apache Ur-Ra Id Imag),   Gregory Mounie (ID - Imag, Apache Ur-Ra Id Imag)