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dc.contributor.authorÖstberg, Per-Olov
dc.contributor.authorLe Duc, Thang
dc.contributor.authorCasari, Paolo 
dc.contributor.authorGarcía Leiva, Rafael
dc.contributor.authorFernández Anta, Antonio 
dc.contributor.editorLynn, Theo
dc.contributor.editorMooney, John G.
dc.contributor.editorDomaschka, Jörg
dc.contributor.editorEllis, Keith A.
dc.date.accessioned2021-07-13T09:45:24Z
dc.date.available2021-07-13T09:45:24Z
dc.date.issued2020-07-21
dc.identifier.isbn978-3-030-39862-0
dc.identifier.urihttp://hdl.handle.net/20.500.12761/882
dc.description.abstractOptimisation of (the configuration and deployment of) distributed cloud applications is a complex problem that requires understanding factors such as infrastructure and application topologies, workload arrival and propagation patterns, and the predictability and variations of user behaviour. This chapter outlines the RECAP approach to application optimisation and presents its framework for joint modelling of applications, workloads, and the propagation of workloads in applications and networks. The interaction of the models and algorithms developed is described and presented along with the tools that build on them. Contributions in modelling, characterisation, and autoscaling of applications, as well as prediction and generation of workloads, are presented and discussed in the context of optimisation of distributed cloud applications operating in complex heterogeneous resource environments.
dc.language.isoeng
dc.publisherPalgrave Macmillan
dc.relation.ispartofseriesPalgrave Studies in Digital Business & Enabling Technologies (PSDBET)
dc.titleApplication Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applicationsen
dc.typebook part
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.book.titleManaging Distributed Cloud Applications and Infrastructure
dc.identifier.doihttps://doi.org/10.1007/978-3-030-39863-7_3#ESM
dc.page.final68
dc.page.initial51
dc.subject.keywordResource provisioning
dc.subject.keywordWorkload modelling
dc.subject.keywordWorkload prediction
dc.subject.keywordWorkload propagation modelling
dc.subject.keywordApplication optimisation
dc.subject.keywordAutoscaling
dc.subject.keywordDistributed cloud
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/2220


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