Summary: An Adaptive Framework for Multiprocessor Real­Time Systems #
Aaron Block + , Bj˜orn Brandenburg + , James H. Anderson + , and Stephen Quint #
Department of Computer Science + and Department of Biomedical Engineering #
University of North Carolina at Chapel Hill
Abstract
In this paper, we develop an adaptive scheduling frame­
work for changing the processor shares of tasks---a process
called reweighting---on real­time multiprocessor platforms.
Our particular focus is adaptive frameworks that are de­
ployed in environments in which tasks may frequently require
significant share changes. Prior work on enabling real­
time adaptivity on multiprocessors has focused exclusively
on scheduling algorithms that can enact needed adaptations.
The algorithm proposed in this paper uses both feedback and
optimization techniques to determine at runtime which adap­
tations are needed.
1. Introduction
Real­time systems that are adaptive in nature have re­
ceived considerable recent attention [3, 6, 7, 8, 15, 20]. As
multicore platforms become ever more ubiquitous, such sys­

Source: Anderson, James - Department of Computer Science, University of North Carolina at Chapel Hill

Collections: Computer Technologies and Information Sciences