HEAL DSpace

A Self-adaptive hierarchical monitoring mechanism for Clouds

Αποθετήριο DSpace/Manakin

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dc.contributor.author Katsaros, G en
dc.contributor.author Kousiouris, G en
dc.contributor.author Gogouvitis, SV en
dc.contributor.author Kyriazis, D en
dc.contributor.author Menychtas, A en
dc.contributor.author Varvarigou, T en
dc.date.accessioned 2014-03-01T02:07:29Z
dc.date.available 2014-03-01T02:07:29Z
dc.date.issued 2012 en
dc.identifier.issn 01641212 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29561
dc.subject Cloud computing en
dc.subject Monitoring en
dc.subject Quality of Service en
dc.subject Service oriented architecture en
dc.subject.other Commoditization en
dc.subject.other Dynamic quality en
dc.subject.other Future internet en
dc.subject.other Interactivity en
dc.subject.other IT assets en
dc.subject.other Monitoring system en
dc.subject.other Monitoring time en
dc.subject.other Multi-layered en
dc.subject.other On-the-fly en
dc.subject.other Post-production en
dc.subject.other Real-world application en
dc.subject.other Resource provisioning en
dc.subject.other Runtimes en
dc.subject.other Self configuration en
dc.subject.other Self-adaptive en
dc.subject.other Software services en
dc.subject.other Usage patterns en
dc.subject.other Cloud computing en
dc.subject.other Information services en
dc.subject.other Monitoring en
dc.subject.other Service oriented architecture (SOA) en
dc.subject.other Quality of service en
dc.title A Self-adaptive hierarchical monitoring mechanism for Clouds en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.jss.2011.11.1043 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.jss.2011.11.1043 en
heal.publicationDate 2012 en
heal.abstract While Cloud computing offers the potential to dramatically reduce the cost of software services through the commoditization of IT assets and on-demand usage patterns, one has to consider that Future Internet applications raise the need for environments that can facilitate real-time and interactivity and thus pose specific requirements to the underlying infrastructure. The latter, should be able to efficiently adapt resource provisioning to the dynamic Quality of Service (QoS) demands of such applications. To this direction, in this paper we present a monitoring system that facilitates on-the-fly self-configuration in terms of both the monitoring time intervals and the monitoringparameters.The proposed approach forms a multi-layered monitoring framework for measuring QoS at both application and infrastructure levels targeting trigger events for runtime adaptability of resource provisioning estimation and decision making. Besides, we demonstrate the operation of the implemented mechanism and evaluate its effectiveness using a real-world application scenario, namely Film Post Production. © 2011 Elsevier Inc. All rights reserved. en
heal.journalName Journal of Systems and Software en
dc.identifier.doi 10.1016/j.jss.2011.11.1043 en
dc.identifier.volume 85 en
dc.identifier.issue 5 en
dc.identifier.spage 1029 en
dc.identifier.epage 1041 en


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