Distributed sensor networks offer many new capabilities for contextually monitoring environments. By making such systems mobile, we increase the application-space for the distribut...
We understand distributed systems as a collection of distributed computation resources that work together as one harmonious system. It is the great achievement of computer network...
Production grids have a potential for parallel execution of a very large number of tasks but also introduce a high overhead that significantly impacts the execution of short task...
Dynamic, heterogenous and distributively owned resource environments present unique challenges to the problems of resource representation, allocation and management. Conventional ...
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...