Autonomic computer systems aim to reduce the configuration, operational, and maintenance costs of distributed applications by enabling them to self-manage, self-heal, self-optimiz...
Jules White, Douglas C. Schmidt, Aniruddha S. Gokh...
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Understanding how the structure of a network evolves over time is one of the most interesting and complex topics in the field of social networks. In our attempt to model the dynam...
Abstract. The development of network-aware applications, i.e. applications that dynamically adapt to network conditions, has had some success in the domain of multimedia applicatio...
We consider the problem of throughput-optimal scheduling in wireless networks subject to interference constraints. We model the interference using a family of K-hop interference m...