In parallel and distributed processing, tasks are ordinarily clustered and assigned to different processors or machines before they are scheduled. The assignment of tasks to proc...
The grid has emerged as a novel paradigm that supports seamless cooperation of distributed, heterogeneous computing resources in addressing highly complex computing and data manage...
Chris Mattmann, Nenad Medvidovic, Paul M. Ramirez,...
We present a mathematical and computational feasibility study of the variational convex decomposition of 2D vector fields into coherent structures and additively superposed flow ...
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates bro...
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...