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dc.contributor.authorPrieta Pintado, Fernando de la 
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-05T10:59:07Z
dc.date.available2017-09-05T10:59:07Z
dc.date.issued2016
dc.identifier.citationJournal of Ambient Intelligence and Humanized Computing. pp. 1-9. Springer.
dc.identifier.issn1868-5137; 1868-5145 (Online)
dc.identifier.urihttp://link.springer.com/article/10.1007/s12652-016-0434-8
dc.identifier.urihttp://hdl.handle.net/10366/134266
dc.description.abstractThe theory of agents and multiagent systems can provide a new model for managing Cloud Computing systems based on the distribution of responsibilities, flexibility and autonomy. Managing the functions of the nucleus of a CC system through an agent-based model allows the resulting platforms to be much more efficient, scalable and adaptable than they currently are. This article presents an architecture to model the control and monitoring system of a Cloud Computing platform by using a Virtual Organization of intelligent agents that self-adapt and reorganize according to the needs of the surrounding environment.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleMAS-based self-adaptive architecture for controlling and monitoring Cloud platforms
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported