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AuthorGarcia, Rafaeldc.contributor.author
AuthorCasari, Paolodc.contributor.author
AuthorDomaschka, Jörgdc.contributor.author
AuthorGriesinger, Frankdc.contributor.author
AuthorNarvä, Linusdc.contributor.author
AuthorLópez, Miguel Angeldc.contributor.author
AuthorLe Duc, Thangdc.contributor.author
AuthorWillis, Peterdc.contributor.author
EditorCasari, Paolodc.contributor.editor
EditorDomaschka, Jörgdc.contributor.editor
Date of accession2020-09-04T07:54:42Zdc.date.accessioned
Available in OPARU since2020-09-04T07:54:42Zdc.date.available
Year of creation2019dc.date.created
Date of first publication2019-04-30dc.date.issued
AbstractThe former Deliverable D5.1 Initial Data Acquisition and Analytics Models provided a detailed description of the tasks planned in the context of RECAP work package WP5, from the point of view of data processing and statistical models. The document also provided an architectural design of the different elements that composed the WP5 solution for data retrieval, management and storage. The document covered both offline (trace-based) and online (monitoring-based) data sources. Deliverable D5.2 extends and complements the information included in Deliverable D5.1, but also includes many new results that have been produced in the meantime. These new results include: i) The insight gathered during the exploratory data analysis of all use cases. ii) A detailed methodology of how to proceed for the analysis of new scenarios not included in the RECAP project. iii) A description of the research activities performed in the area of auto-machine learning. iv) An application of the new research tools to the analysis of RECAP Use Cases. D5.2 also updates the information of D5.1 where applicable, for example, about the progress and status of the different developments, or by delivering an updated version of the metrics being collected from the Use Cases. The collection of deliverables D5.1 and D5.2 provide all the required information, from a data collection and analysis point of view, and lay the grounds for ongoing taks in work packages WP6 (workload and application modelling), WP7 (simulation) and WP8 (application placement and infrastructure optimisation)dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Earlier versionhttp://dx.doi.org/10.18725/OPARU-32892dc.relation.isversionof
LicenseCC BY-ND 4.0 Internationaldc.rights
Link to license texthttps://creativecommons.org/licenses/by-nd/4.0dc.rights.uri
Keywordedge computingdc.subject
Keywordcapacity provisioningdc.subject
Keywordmonitoringdc.subject
Keyworddata analyticsdc.subject
Keyworddata acquisitiondc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
LCSHMonitoringdc.subject.lcsh
LCSHData collection platformsdc.subject.lcsh
LCSHComputer capacitydc.subject.lcsh
LCSHData flow computingdc.subject.lcsh
TitleFinal Data Acquisition and Analytics Models : RECAP Deliverable D5.2dc.title
Resource typeBerichtdc.type
DOIhttp://dx.doi.org/10.18725/OPARU-33007dc.identifier.doi
PPN1729147186dc.identifier.ppn
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-33069-0dc.identifier.urn
GNDDatenmanagementdc.subject.gnd
GNDEdge computingdc.subject.gnd
GNDMonitoringdc.subject.gnd
GNDDatenanalysedc.subject.gnd
GNDDatenerhebungdc.subject.gnd
GNDRechenkapazitätdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Organisation und Management von Informationssystemenuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
In cooperation withIMDEA Networksuulm.cooperation
In cooperation withTIETOuulm.cooperation
In cooperation withsatecuulm.cooperation
In cooperation withUniversität Umeauulm.cooperation
In cooperation withBTuulm.cooperation
URL of original publicationhttps://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5c3b433fd&appId=PPGMSdc.relation1.url
EU projectRECAP / Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications / EC / H2020 / 732667uulm.projectEU
University Bibliographyjauulm.unibibliographie


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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