Modern high performance routers rely on sophisticated interconnection networks to meet ever increasing demands on capacity. Previous studies have used a combination of analysis an...
Charlie Wiseman, Jonathan S. Turner, Ken Wong, Bra...
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Anomalous events that affect the performance of networks are a fact of life. It is therefore not surprising that recent years have seen an explosion in research on network anomaly...
Haakon Ringberg, Matthew Roughan, Jennifer Rexford
The resolution at which a sensor network collects data is a crucial parameter of performance since it governs the range of applications that are feasible to be developed using tha...
Aman Kansal, William J. Kaiser, Gregory J. Pottie,...