Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4970
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dc.contributor.authorSerhiienko, Oleksii-
dc.contributor.authorSpillner, Josef-
dc.date.accessioned2019-01-10T14:56:51Z-
dc.date.available2019-01-10T14:56:51Z-
dc.date.issued2018-12-
dc.identifier.isbn978-1-5386-7899-2de_CH
dc.identifier.isbn978-1-5386-7900-5de_CH
dc.identifier.issn2330-2186de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/14319-
dc.description.abstractWith the growth and evolution of cloud applications, more and more architectures use hybrid cloud bindings to optimally use virtual resources regarding pricing policies and performance. This process has led to the creation of multi-cloud management platforms as well as abstraction libraries. At the moment, many (multi-)cloud management platforms (CMPs) are designed to cover the functional requirements. Along with growing adoption and industrial impact of such solutions, there is a need for a comparison and test environment which automatically assesses and compares existing platforms and helps in choosing the optimal one. This paper focuses on the creation of a suitable testbed concept and an actual extensible software prototype which makes multi-cloud experiments repeatable and reusable by other researchers. The work is evaluated by an exemplary comparison of 4 CMPs bound to AWS, showcasing standardised output formats and evaluation criteria.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectCloud management platformde_CH
dc.subjectMulti-cloudde_CH
dc.subjectTestbedde_CH
dc.subjectRecomputationde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleSystematic and recomputable comparison of multi-cloud management platformsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.21256/zhaw-4970-
dc.identifier.doi10.1109/CloudCom2018.2018.00032de_CH
zhaw.conference.detailsInternational Conference on Cloud Computing Technology and Science (CloudCom 2018), Nicosia, Cyprus, 10-13 December 2018de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end114de_CH
zhaw.pages.start107de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedings2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)de_CH
zhaw.webfeedService Engineeringde_CH
Appears in collections:Publikationen School of Engineering

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Serhiienko, O., & Spillner, J. (2018). Systematic and recomputable comparison of multi-cloud management platforms [Conference paper]. 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 107–114. https://doi.org/10.21256/zhaw-4970
Serhiienko, O. and Spillner, J. (2018) ‘Systematic and recomputable comparison of multi-cloud management platforms’, in 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, pp. 107–114. Available at: https://doi.org/10.21256/zhaw-4970.
O. Serhiienko and J. Spillner, “Systematic and recomputable comparison of multi-cloud management platforms,” in 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Dec. 2018, pp. 107–114. doi: 10.21256/zhaw-4970.
SERHIIENKO, Oleksii und Josef SPILLNER, 2018. Systematic and recomputable comparison of multi-cloud management platforms. In: 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). Conference paper. IEEE. Dezember 2018. S. 107–114. ISBN 978-1-5386-7899-2
Serhiienko, Oleksii, and Josef Spillner. 2018. “Systematic and Recomputable Comparison of Multi-Cloud Management Platforms.” Conference paper. In 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 107–14. IEEE. https://doi.org/10.21256/zhaw-4970.
Serhiienko, Oleksii, and Josef Spillner. “Systematic and Recomputable Comparison of Multi-Cloud Management Platforms.” 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), IEEE, 2018, pp. 107–14, https://doi.org/10.21256/zhaw-4970.


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