Modern distributed computing systems are expected to be able to span a large number of heterogeneous interconnected devices while providing numerous and increasingly complex services to audiences on a global scale. Such systems are increasingly complex to deploy and operate and are stretching management techniques to a breaking point. Autonomic computing is emerging as an architectural philosop...

Autonomic Computing is emerging as a significant new approach to the design of computing systems. Its goal is the development of systems that are selfconfiguring, self-healing, self-protecting and selfoptimizing. Dependability is a long-standing desirable property of all computer-based systems. The purpose of this paper is to consider how Autonomic Computing can provide a framework for dependab...

We discuss the key features of autonomic computing and their relationship to AI systems. We present a generic architecture for autonomic computing systems and propose a computational model based on communicating automata networks to implement such architectures. We illustrate this approach with an intelligent device discovery tool that analyzes the inventory and topology of large computer netwo...

The increasing scale complexity, heterogeneity and dynamism of networks, systems and applications have made our computational and information infrastructure brittle, unmanageable and insecure. This has necessitated the investigation of an alternate paradigm for system and application design, which is based on strategies used by biological systems to deal with similar challenges – a vision that ...

Current research in autonomic computing suffers from the lack of a common definition of the basic autonomic entities. Defining and developing the basic autonomic entities and making it publicly available would greatly simplify prototyping of different self-management techniques and permit autonomic techniques to be compared and benchmarked. Although different aspects of autonomic computing are ...

Abs t rac t . Traditionally, networks and systems are manually managed. It usually takes one or more human operators to manage all aspects of a dynamically evolving computing and communicating system. The operator is tightly integrated in this management process, and his tasks range from defining high-level policies to executing low-level system commands for immediate problem solving. Although ...