Adaptive scheduling for real-time, embedded information systems

Abstract

Develops a QoS framework that satisfies the goals of maximizing resource allocation according to deployment of specific needs and more effectively integrating deterministic and nondeterministic functions. Our approach was to blend macro-level adaptive resource management techniques with micro-level run-time scheduling algorithms within the context of an application that can supply data to guide the adaptation late in the deployment lifecycle, i.e., during system configuration or even at run-time. Future work will focus on measuring qualitative and quantitative improvements resulting from the use of this framework.