—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
We present a novel approach for the implementation of efficient and dependable web service engines (WSEs). A WSE instance represents a single node in a distributed network of par...
Recent research has shown that using a mobile element to collect and carry data mechanically from a sensor network has many advantages over static multihop routing. We have an imp...
David Jea, Arun A. Somasundara, Mani B. Srivastava
— QoS and congestion performance are crucial to good application performance in a utility computing environment. Unfortunately, proper IP QoS setup is very complex and is either ...
We develop new methods to statically bound the resources needed for the execution of systems of concurrent, interactive threads. Our study is concerned with a synchronous model of ...