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dc.contributor.authorSoltane, Merzoug*
dc.contributor.authorCardinale, Yudith*
dc.contributor.authorAngarita Arocha, Rafaël*
dc.contributor.authorRosse, Philippe*
dc.contributor.authorRukoz, Marta*
dc.contributor.authorMakhlouf, Derdour*
dc.contributor.authorOkba, Kazar*
dc.date.accessioned2019-07-09T14:01:05Z
dc.date.available2019-07-09T14:01:05Z
dc.date.issued2018
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/19212
dc.language.isoenen
dc.subjectDistributeden
dc.subjectParallelen
dc.subjectCluster Computingen
dc.subject.ddc004en
dc.titleA Self-adaptive Agent-based System for Cloud Platformsen
dc.typeCommunication / Conférence
dc.description.abstractenCloud computing is a model for enabling on-demand network access to a shared pool of computing resources, that can be dynamically allocated and released with minimal effort. However, this task can be complex in highly dynamic environments with various resources to allocate for an increasing number of different users requirements. In this work, we propose a Cloud architecture based on a multi-agent system exhibiting a self-adaptive behavior to address the dynamic resource allocation. This self-adaptive system follows a MAPE-K approach to reason and act, according to QoS, Cloud service information, and propagated run-time information, to detect QoS degradation and make better resource allocation decisions. We validate our proposed Cloud architecture by simulation. Results show that it can properly allocate resources to reduce energy consumption, while satisfying the users demanded QoS.en
dc.identifier.citationpages1-8en
dc.relation.ispartoftitle3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS 2018)en
dc.relation.ispartofeditorAmroune, Mohammed
dc.relation.ispartofpublnameIEEE - Institute of Electrical and Electronics Engineersen
dc.relation.ispartofpublcityPiscataway, NJen
dc.relation.ispartofdate2018
dc.contributor.countryeditoruniversityotherVENEZUELA, BOLIVARIAN REPUBLIC OF
dc.subject.ddclabelInformatique généraleen
dc.relation.conftitle3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS 2018)en
dc.relation.confdate2018-10
dc.relation.confcityTebessaen
dc.relation.confcountryAlgeriaen
dc.relation.forthcomingnonen
dc.identifier.doi10.1109/PAIS.2018.8598507en
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2019-07-09T13:51:29Z
hal.person.labIds444287*
hal.person.labIds100644*
hal.person.labIds238314*
hal.person.labIds29209*
hal.person.labIds989*
hal.person.labIds238218*
hal.person.labIds115536*
hal.identifierhal-02178203*


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