Autonomic self healing and recovery informed by environment knowledge |
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Authors: | Sa’adah Hassan David McSherry David Bustard |
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Affiliation: | (1) School of Computing and Information Engineering, University of Ulster, Coleraine, Northern Ireland, BT52 1SA, UK |
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Abstract: | An important goal of autonomic computing is the development of computing systems that are capable of self healing with a minimum
of human intervention. Typically, recovery from even a simple fault will require knowledge of the environment in which a computing
system operates. To meet this need, we present an approach to self healing and recovery informed by environment knowledge
that combines case based reasoning (CBR) and rule based reasoning. Specifically, CBR is used for fault diagnosis and rule
based reasoning for fault remediation, recovery, and referral. We also show how automated information gathering from available
sources in a computing system’s environment can increase problem solving efficiency and help to reduce the occurrence of service
failures. Finally, we demonstrate the approach in an intelligent system for fault management in a local printer network. |
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Keywords: | Autonomic computing Self healing Case based reasoning Rule based reasoning Fault diagnosis Fault management |
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