We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic...
Standard TCP (Reno TCP) does not perform well on fast long distance networks, due to its AIMD congestion control algorithm. In this paper we consider the effectiveness of various a...
Roger Les Cottrell, Saad Ansari, Parakram Khandpur...
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Modeling TCP is fundamental for understanding Internet behavior. The reason is that TCP is responsible for carrying a huge quota of the Internet traffic. During last decade many a...
Gennaro Boggia, Pietro Camarda, Alessandro D'Alcon...
Abstract— This paper presents three algorithms that outperform all other published work for allocating a limited number of orthogonal frequency channels to access points (APs) in...
Jeremy K. Chen, Gustavo de Veciana, Theodore S. Ra...