ADVANCED ATUONOMIC NETWORKING AND COMMUNICATION: Embedding Intelligence into Devices

This book presents a comprehensive reference of state-of-the-art e?orts and early results in the area of autonomic networking and communication. The essence of autonomic networking, and thus autonomic communication, is to enable the - tonomic component, device or system to govern the set of services and resources delivered at any given time while protecting context-sensitive business goals. An additionalchallengeistoprovideself-governanceinthefaceofchanginguserneeds, environmental conditions, and business objectives. In other words, an autonomic network understands relevant contextual data and changes to those data, and adapts the services and resources it provides in accordance with business-driven policies that protect user and business interests. Autonomic computing is often described as self-CHOP (self-con?guration, -healing, -optimisation, and -protection). Autonomic networking instead focuses on self-knowledge,which is the foundation to build self-governance.Note that self- CHOP functionality is still provided, but the emphasis of autonomic networking is on the foundation to realise self-CHOP, not in the di?erent self-* technologies and bene?ts.

This book presents a comprehensive reference of state-of-the-art efforts and early results in the area of autonomic networking and communication.

The essence of autonomic networking, and thus autonomic communications, is to enable the self-governing of services and resources within the constraints of business rules. In order to support self-governance, appropriate self-* functionality will be deployed in the network on an application-specific basis. The continuing increase in complexity of upcoming networking convergence scenarios mandates a new approach to network management.

This Volume explores different ways that autonomic principles can be applied to existing and future networks. In particular, the book has 3 main parts, each of them represented by three papers discussing them from industrial and academic perspectives.

The first part focuses on architectures and modeling strategies. Part two is dedicated to middleware and service infrastructure as facilitators of autonomic communications, and the last part addresses autonomic networks, specifically how current networks can be equipped with autonomic functionality and thus migrate to autonomic networks.