In many applications we can deploy large number of sensors spanning wide geographical areas, to monitor environmental phenomena. The analysis of the data collected by such sensor ...
Sharmila Subramaniam, Vana Kalogeraki, Themis Palp...
: 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...
The convergence of iterative methods used to solve the linear systems arising in incompressible flow problems is sensitive to flow parameters such as the Reynolds number, time s...
In this paper, we develop algorithms for distributed computation of averages of the node data over networks with bandwidth/power constraints or large volumes of data. Distributed ...
Current trends in high-performance parallel computers show that fat-tree interconnection networks are one of the most popular topologies. The particular characteristics of this to...
Marina Alonso, Salvador Coll, Juan Miguel Mart&iac...