The commonly used task models for real-time systems focus on execution windows expressing earliest start times and deadlines of tasks for feasibility. Within these windows, execut...
Scheduling of sporadic task systems on multiprocessor platforms is an area which has received much attention in the recent past. It is widely believed that finding an optimal sch...
— We consider a cognitive radio system like the future 802.22 networks where license-exempt service providers (SPs) will share a fixed spectrum in a non-interference basis to ea...
Lehigh University has recently implemented a new PC deployment model which is built around the Universal Imaging Utility, a product of Big Bang, LLC. This model has allowed Lehigh...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...