Providing quality of service (QoS) in large-scale networks like the Internet inherently needs to deal with heterogeneous network QoS systems. Therefore, the interworking between d...
Jens Schmitt, Oliver Heckmann, Martin Karsten, Ral...
Supply voltage scaling and adaptive body-biasing are important techniques that help to reduce the energy dissipation of embedded systems. This is achieved by dynamically adjusting...
Alexandru Andrei, Marcus T. Schmitz, Petru Eles, Z...
Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...
Abstract. We study online scheduling to minimize flow time plus energy usage in the dynamic speed scaling model. We devise new speed scaling functions that depend on the number of ...
Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prud...
In this paper, we consider the problem of observer design for dynamical systems with scalar output by linearization of the error dynamics via coordinate change, output injection, ...
Witold Respondek, Alexander Yu. Pogromsky, Henk Ni...