We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider ...
The problem of routing traffic through a congested network is studied. The framework is that introduced by Koutsoupias and Papadimitriou where the network is constituted by m paral...
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
The EvoSpaces reverse-engineering tool represents the architecture and metrics of complex software systems as 3D software cities. By navigating and interacting with this world, th...
Obligations are pervasive in modern systems, often linked to access control decisions. We present a very general model of obligations as objects with state, and discuss its interac...
Daniel J. Dougherty, Kathi Fisler, Shriram Krishna...