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2003
Springer

Eos: An Approach of Using Behavior Implications for Policy-Based Self-Management

10 years 5 months ago
Eos: An Approach of Using Behavior Implications for Policy-Based Self-Management
Systems are becoming exceedingly complex to manage. As such, there is an increasing trend towards developing systems that are self-managing. Policy-based infrastructures have been used to provide a limited degree of automation, by associating actions to system-events. In the context of self-managing systems, the existing policy-specification model fails to capture the following: a) The impact of a rule on system behavior (behavior implications). This is required for automated decision-making. b) Learning mechanisms for refining the invocation heuristics by monitoring the impact of rules. This paper proposes Eos; An approach to enhance the existing policybased model with behavior implications. The paper gives details of the following aspects: • Expressing behavior implications. • Using behavior implications of a rule for learning and automated decision-making. • Enhancing existing policy-based infrastructures to support selfmanagement using Eos. The paper also describes an example...
Sandeep Uttamchandani, Carolyn L. Talcott, David P
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where DSOM
Authors Sandeep Uttamchandani, Carolyn L. Talcott, David Pease
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