Embryonic Models for Self-Healing Distributed Services

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dc.contributor.author Miorandi, Daniel en_US
dc.contributor.author Lowe, David en_US
dc.contributor.author Yamamoto, Lidia en_US
dc.contributor.editor Eitan Altman, Iacopo Carrera, Rachid El-Azouzi, Emma Hart, Yezekael Hayel en_US
dc.date.accessioned 2012-02-02T11:09:04Z
dc.date.available 2012-02-02T11:09:04Z
dc.date.issued 2010 en_US
dc.identifier 2008007704 en_US
dc.identifier.citation Miorandi Daniel, Lowe David, and Yamamoto Lidia 2010, 'Embryonic Models for Self-Healing Distributed Services', , Springer, Berlin, Germany, , pp. 152-166. en_US
dc.identifier.issn 3-642-12807-6 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16423
dc.description.abstract A major research challenge in distributed systems is the design of services that incorporate robustness to events such as network changes and node faults. In this paper we describe an approach i?? which we refer to as EmbryoWare i?? that is inspired by cellular development and differentiation processes. The approach uses i??artificial stem cellsi?? in the form of totipotent nodes that differentiate into the different types needed to obtain the desired systemi??level behaviour. Each node has a genome that contains the full service specification, as well as rules for the differentiation process. We describe the system architecture and present simulation results that assess the overall performance and fault tolerance properties of the system in a decentralized network monitoring scenario. en_US
dc.language en_US
dc.publisher Springer en_US
dc.relation.isbasedon http://www.bionetics.org/2009/Bionetics_2009_talks_slides/9DEC_Embryonic_Models_for_Self_Healing_Distributed_Services.pdf en_US
dc.title Embryonic Models for Self-Healing Distributed Services en_US
dc.parent Bionetics 2009: 4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Berlin, Germany en_US
dc.identifier.startpage 152 en_US
dc.identifier.endpage 166 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 090200 en_US
dc.personcode 0000050873 en_US
dc.personcode 930311 en_US
dc.personcode 0000052763 en_US
dc.percentage 100 en_US
dc.classification.name Control Systems, Robotics and Automation en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Bio-Inspired Models of Network, Information, and Computing Systems en_US
dc.date.activity 20091209 en_US
dc.location.activity Avignon, France en_US
dc.description.keywords distributed services, autonomic computing, self?healing behaviour, robustness, embryogenesis, differentiation mechanisms en_US

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