Logo des Repositoriums
 

Experience management for task placements in a cloud

Kurzanzeige
dc.contributor.authorKübler, Eric
dc.contributor.authorMinor, Mirjam
dc.contributor.editorHeisig, Peter
dc.contributor.editorOrth, Ronald
dc.contributor.editorSchönborn, Jakob Michael
dc.contributor.editorThalmann, Stefan
dc.date.accessioned2020-10-05T11:30:37Z
dc.date.available2020-10-05T11:30:37Z
dc.date.issued2020
dc.description.abstractThe execution of workflows in a cloud is more and more popular, and new business concept based on this combination emerge. However, the task to control a cloud in such a way, that the rented cloud resources match the requirements for the currently executed workflows is difficult. Simple solutions struggle with over-, and under-provisioning problems or lack the needed flexibility for the new business concepts. A smart concept for cloud management should use knowledge about the characteristic of the executed task to improve the resource utilization of the cloud. In this paper we present our approach for a CBR based concept for cloud management that reuses experience on proper cloud configurations. We introduce our similarity function for task placements in a cloud and illustrate the approach with some sample workflows form the music mastering domain.en
dc.identifier.isbn978-3-88579-607-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34389
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofWM 2019 - Wissensmanagement in digitalen Arbeitswelten: Aktuelle Ansätze und Perspektiven - Knowledge Management in Digital Workplace Environments: State of the Art and Outlook
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-303
dc.subjectCloud
dc.subjectCBR
dc.subjectMAC/FAC
dc.titleExperience management for task placements in a clouden
dc.typeText/Conference Paper
gi.citation.endPage107
gi.citation.publisherPlaceBonn
gi.citation.startPage94
gi.conference.date18.-20. März 2019
gi.conference.locationPotsdam
gi.conference.sessiontitleWS III: 8th German Workshop on Experience Management

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
WM2019-94-107.pdf
Größe:
926.19 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P303 - WM 2019 - Wissensmanagement in digitalen Arbeitswelten: Aktuelle Ansätze und Perspektiven - Knowledge Management in Digital Workplace Environments: State of the Art and Outlook