: 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...
Threshold agent networks (TANs) constitute a discretized modification of threshold (also known as neural) networks that are appropriate for modeling computer simulations. In this p...
This work focuses on mobility management in a multicast environment. Traditional solutions, based either on bi-directional tunneling or on remote subscription, have different draw...
Abstract— Short TCP flows may suffer significant responsetime performance degradations during network congestion. Unfortunately, this creates an incentive for misbehavior by cl...
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...