The Policy Expert Group of the Autonomic Communications Forum is working to enhance policy to enable flexible control of self-governed systems. The initial effort focuses on proposed enhancements to the DEN-ng policy model to serve as a baseline from which the ACF Policy Model can be developed . This enhanced policy model incorporates traditional (eventcondition-action) and deontic policy representations for policy rules, and provides a modular distributed structure for policy applications.
DEN-ng Policy Model Core FrameworkPolicies commonly follow a standard eventcondition-action (ECA) model. A simplified conceptual model of an ECA policy rule works as follows: specified events are monitored, and these events are used to trigger the evaluation of the conditions of one or more policy rules. If the conditions of a policy rule are matched, then one or more policy actions specified by that policy rule may be executed. If the conditions are not matched, one or more alternative policy actions that are optionally specified by that policy rule may instead be executed. Figure 1 shows the core framework of the new DEN-ng policy model (note that this is different from the DEN-ng policy model described in [4], but the same as that described in [32]). A PolicyConcept is an Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems 978-0-7695-3140-3/08 $25.00
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.
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