We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
We consider the impact of different communication architectures on the performability (performance + availability) of cluster-based servers. In particular, we use a combination of ...
Abstract—In this paper, we present MobTorrent, an ondemand, user-driven framework designed for vehicles which have intermittent high speed access to roadside WiFi access points (...
In the context of scheduling and timetabling, we study a challenging combinatorial problem which is very interesting for both practical and theoretical points of view. The motivati...
Gianlorenzo D'Angelo, Gabriele Di Stefano, Alfredo...
In this paper, we propose a novel active queue management (AQM) scheme based on the Random Early Detection (RED) of the loss ratio and the total sending rate control, called LRC-R...