Publication:
SLA-Driven Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems

cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0001-5968-7108
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid65f054ad-ee65-4a22-a3be-990293fcb596
dc.contributor.authorAntonescu, Alexandru-Florian
dc.contributor.authorBraun, Torsten
dc.date.accessioned2024-10-15T14:13:28Z
dc.date.available2024-10-15T14:13:28Z
dc.date.issued2014-07-15
dc.description.abstractCloud Computing is an enabler for delivering large-scale, distributed enterprise applications with strict requirements in terms of performance. It is often the case that such applications have complex scaling and Service Level Agreement (SLA) management requirements. In this paper we present a simulation approach for validating and comparing SLA-aware scaling policies using the CloudSim simulator, using data from an actual Distributed Enterprise Information System (dEIS). We extend CloudSim with concurrent and multi-tenant task simulation capabilities. We then show how different scaling policies can be used for simulating multiple dEIS applications. We present multiple experiments depicting the impact of VM scaling on both datacenter energy consumption and dEIS performance indicators.
dc.description.numberOfPages12
dc.description.sponsorshipInstitut für Informatik und angewandte Mathematik (IAM)
dc.identifier.doi10.7892/boris.54495
dc.identifier.publisherDOI10.1007/978-3-319-13464-2_7
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/124710
dc.language.isoen
dc.publisherSpringer
dc.relation.conferenceWorkshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC 2014) held in conjunction with ACM Symposium on Principles of Distributed Computing (PODC 2014)
dc.relation.isbn978-3-319-13463-5
dc.relation.ispartofLecture notes in computer science
dc.relation.issn0302-9743
dc.relation.organizationDCD5A442BE95E17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C2AFE17DE0405C82790C4DE2
dc.subject.ddc000 - Computer science, knowledge & systems
dc.subject.ddc500 - Science::510 - Mathematics
dc.titleSLA-Driven Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems
dc.typeconference_item
dspace.entity.typePublication
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oaire.citation.conferenceDate15.07.2014
oaire.citation.conferencePlaceParis, France
oaire.citation.endPage102
oaire.citation.startPage91
oaire.citation.volume8907
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oairecerif.author.affiliationInstitut für Informatik und angewandte Mathematik (IAM)
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unibe.eprints.legacyId54495
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unibe.subtype.conferencepaper

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