Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
A network latency estimation scheme associates a "position" to every peer in a distributed network such that the latency between any two nodes can be accurately estimate...
Abstract—A probabilistic analytical framework for decentralized load balancing (LB) strategies for heterogeneous distributed-computing systems (DCSs) is presented with the overal...
We study Nash equilibria and the price of anarchy in the context of flows over time. Many results on static routing games have been obtained over the last ten years. In flows ov...