Logo des Repositoriums
 

Methodological Principles for Reproducible Performance Evaluation in Cloud Computing

dc.contributor.authorPapadopoulos, Alessandro V.
dc.contributor.authorVersluis, Laurens
dc.contributor.authorBauer, André
dc.contributor.authorHerbst, Nikolas
dc.contributor.authorKistowski, Jóakim von
dc.contributor.authorAli-Eldin, Ahmed
dc.contributor.authorAbad, Cristina L.
dc.contributor.authorAmaral, José Nelson
dc.contributor.authorTůma, Petr
dc.contributor.authorIosup, Alexandru
dc.contributor.editorFelderer, Michael
dc.contributor.editorHasselbring, Wilhelm
dc.contributor.editorRabiser, Rick
dc.contributor.editorJung, Reiner
dc.date.accessioned2020-02-03T13:03:28Z
dc.date.available2020-02-03T13:03:28Z
dc.date.issued2020
dc.description.abstractIn this work, we report on our recent article on \"Methodological Principles for Reproducible Performance Evaluation in Cloud Computing\" published in the IEEE Transactions on Software Engineering (TSE). This publication is a result of a joint effort coordinated by the Cloud Research Working Group of SPEC (Standard Performance Evaluation Corporation).en
dc.identifier.doi10.18420/SE2020_27
dc.identifier.isbn978-3-88579-694-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/31704
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-300
dc.subjectCloud Computing
dc.subjectPerformance Evaluation
dc.subjectBenchmark Testing
dc.subjectSystematics
dc.subjectComputer Performance
dc.subjectSoftware Engineering
dc.subjectExperimental Evaluation
dc.subjectObservation Study
dc.titleMethodological Principles for Reproducible Performance Evaluation in Cloud Computingen
dc.typeText/Conference Paper
gi.citation.endPage
gi.citation.publisherPlaceBonn
gi.citation.startPage93
gi.conference.date24.-28. Feburar 2020
gi.conference.locationInnsbruck, Austria
gi.conference.sessiontitleSoftware Intelligence und Enterprise Cloud

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
B8-03.pdf
Größe:
70.14 KB
Format:
Adobe Portable Document Format