Policy and profile: enabling self-knowledge for autonomic systems

  • Authors:
  • Ray Carroll;John Strassner;Greg Cox;Sven van der Meer

  • Affiliations:
  • Waterford Institute of Technology, TSSG, Waterford, Ireland;Motorola Labs, Schaumburg;Motorola Labs, Schaumburg;Waterford Institute of Technology, TSSG, Waterford, Ireland

  • Venue:
  • DSOM'06 Proceedings of the 17th IFIP/IEEE international conference on Distributed Systems: operations and management
  • Year:
  • 2006

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Abstract

The standard definition of autonomics is that of self-governance, including such properties as self-configuring, self-healing and self-optimizing. To really enable self-anything, however, we must first deliver another ‘self-' property – self-knowledge. We define self-knowledge as information about a system enabling it to reason on its own capabilities and actions. This knowledge can come in many forms but we propose that there are essentially two key elements: knowledge of the individual parts of the system, and knowledge about the rules that determine the interaction of these system components. This paper presents a model describing self-knowledge, with policy for defining rules and profiles to express the individual entities knowledge.