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Functionality recomposition for self-healing

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dc.contributor.author Martinez, Josu
dc.contributor.author Dobson, Simon
dc.date.accessioned 2012-03-16T09:41:05Z
dc.date.available 2012-03-16T09:41:05Z
dc.date.issued 2009
dc.identifier.uri http://hdl.handle.net/10344/2096
dc.description peer-reviewed en_US
dc.description.abstract Autonomic computing aims to provide self-management and adaptation in the implementation of complex (large, heterogeneous, distributed) systems over time. Such adaptations must be stable, in the sense of maintaining the system’s high-level goals across environmental changes, which may lead to functionality loss. In this paper we present FReSH, a decentralised component-based framework which main objective is to self-heal the operation of complex systems in the face of behavioural disruptions. FReSH deals with formally specified components that provide a single piece of functionality. The reusable and shareable nature of these building blocks makes them eligible for dynamically recomposing the functionality provided by any failing component of the system without human intervention. FReSH supports the construction of more flexible, adaptive and robust software structures suitable to cope with the environmental changes of complex systems. en_US
dc.language.iso eng en_US
dc.relation.ispartofseries Proceedings of the Fourth International Conference on Software and Data Technologies;2009 pp 159-164
dc.subject autonomic computing en_US
dc.subject formal methods en_US
dc.subject distributed archiectures en_US
dc.subject software composition en_US
dc.title Functionality recomposition for self-healing en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.restriction none en
dc.contributor.sponsor SFI
dc.relation.projectid 03/CE2/I303_1

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