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A Self-Healing Technique based on Encapsulated Operation Knowledge

Authors: Teruyoshi Zenmyo; Hideki Yoshida; Tetsuro Kimura;

A Self-Healing Technique based on Encapsulated Operation Knowledge

Abstract

Although autonomic computing reduces traditional operational cost, it introduces another cost factor related to operation knowledge. This paper focuses on self-healing functionality and proposes a technique which improves reusability of component-level operation knowledge for self-healing systems. Operation knowledge which attains reusability becomes independent of a specific system structure and therefore it can be reused across organizations and adapted to changes. To achieve reusability, operation knowledge is encapsulated in components whereas system specific information is excluded. To cope with the remaining problem of dependency among components, a dependency injection mechanism is introduced. The dependency injection mechanism works out needed recovery actions by relating component and system-specific information. Furthermore, this paper describes an implemented prototype together with an application example.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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