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AuthorDomaschka, Jö
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AbstractThis document outlines a framework for the cloud workload and application models used in CactoOpt, the CACTOS infrastructure optimisation tool, and presents initial prototypes for cloud application behaviour models. The purpose of this deliverable is to demonstrate some of the prediction models built for different cloud workloads, and illustrate how they are integrated with the application and component models used in infrastructure and workload deployment optimization. For prediction modelling we give special focus to cloud application user behaviour modelling, including, e.g., workload burstiness and request arrival pattern modelling. To place this work in context, we also present a framework for application and infrastructure modelling focused on translation of workload and application behaviour to infrastructure load.dc.description.abstract
PublisherUniversität Ulmdc.publisher
LicenseCC BY-ND 4.0 Internationaldc.rights
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KeywordPrediction modelsdc.subject
KeywordCactos Projektdc.subject
KeywordCloud servicesdc.subject
KeywordContext-aware cloud topologydc.subject
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
LCSHCloud computingdc.subject.lcsh
LCSHElectronic network topologydc.subject.lcsh
TitlePredictive cloud application model: project deliverable D3.2dc.title
Resource typeBerichtdc.type
GNDCloud Computingdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Organisation und Management von Informationssystemenuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
In cooperation withFZI Forschungszentrum Informatik am Karlsruher Institut für Technologieuulm.cooperation
In cooperation withUmeå Universitetuulm.cooperation
EU projectCACTOS / Context-Aware Cloud Topology Optimisation and Simulation / EC / FP7 / 610711uulm.projectEU
FundingEC / FP7uulm.funding

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CC BY-ND 4.0 International
Except where otherwise noted, this item's license is described as CC BY-ND 4.0 International