Revising defeasible autonomic computing system
Yanbin Peng, Zhijun Zheng, Xueqin Jiang · 2009
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.