Revising defeasible autonomic computing system

As the scale of virtual organization getting larger and larger, managing service cooperation within virtual organization becomes more and more complex. Autonomic computing is a natural selection to solve this management complexity crisis problem. Due to dynamic nature of virtual organization, policy reflecting administrator´s goal should be revised in time. As an extension of our former research works, this paper proposes a novel defeasible autonomic computing system where policy revision is considered through reasoning meta rules. Case study shows that with non-monotonic reasoning ability of defeasible logic, policy can be revised according to environment factors.