The resource management in distributed real-time systems becomes increasingly unpredictable with the proliferation of data-driven applications. Therefore, it is inefficient to all...
Tian He, John A. Stankovic, Michael Marley, Chenya...
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
This paper introduces a method which can be used to map applications written in a high level source language program, like C, to a coarse grain reconfigurable architecture, MONTIU...
Yuanqing Guo, Gerard J. M. Smit, Hajo Broersma, Mi...
Event-driven distributed infrastructures are becoming increasingly important for information dissemination and application integration. We examine the problem of optimal resource ...
—In this paper we analyze the delay performance of a single user with perfect channel state information transmitting data over a wireless fading channel. We consider a dynamic re...