A CLustering Approach for Improving Network Performance in Heterogeneous
Systems

A lot of research has focused in the past few years on solving the problem 
of task scheduling on heterogeneous systems from the computational point of
 view. In this paper, we propose on one hand a clustering algorithm that, 
given a network topology, provides a network partition adapted to the 
communication requirements of the set of applications running on the machine. 
On other hand, we propose a criterion to measure the quality of each one of 
the possible mappings of processes to processors that the provided network 
partition may generate. Preliminary evaluation results show that these 
proposals can greatly improve network performance, providing a basis of a 
communication-aware scheduling technique.