This paper addresses the problem of fine-grained data replication in large distributed systems, such as the Internet, so as to minimize the user access delays. With fine-grained d...
Lattice-Boltzmann (LB) methods are a well-known technique in the context of computational fluid dynamics. By nature, they can easily be parallelized but their adaptation to the Gr...
We introduce a new method to estimate the Java object activity in a distributed context of irregular applications. This method uses an observation mechanism which is itself a part...
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...