Self-aware Computing Systems An Engineering Approach

Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions.

Self-aware Computing Introduction and Motivation.- Self-awareness and Self-expression Inspiration from Psychology.- Relationships to Other Concepts.- Reference Architecture for Self-aware and Self-expressive Computing Systems.- Design Patterns and Primitives Introduction of Components and Patterns for SACS.- Knowledge Representation and Modelling Structures and Common Techniques for Self-Awareness and Self-Expression.- Self-aware Compute Nodes.- Self-Adaptive Hardware Acceleration on a Heterogeneous Cluster.- Flexible Protocol Stacks.- Middleware Support for Self-aware Computing Systems.- Self-aware Hardware Acceleration of Financial Applications on a Heterogeneous Cluster.- Self-aware Object Tracking in Multi-camera Networks.- Self-awareness in Active Music Systems.- Conclusions and Outlook.- Glossary.- References.- Index.