Abstract
In this chapter, we explore adaptive resource management techniques for cyber-physical systems-on-chip that employ principles of computational self-awareness to varying degrees, specifically reflection. By supporting various self-X properties, systems gain the ability to reason about runtime configuration decisions by considering the significance of competing objectives, user requirements, and operating conditions, while executing unpredictable workloads.
Type
Publication
In Springer International Publishing
Caio Batista de Melo
Assistant Teaching Professor
My research interests include cs education, reliability, and embedded applications.