DC FieldValueLanguage
dc.contributor.advisorSchulte, Stefan-
dc.contributor.authorWaibel, Philipp-
dc.date.accessioned2020-12-18T12:10:48Z-
dc.date.issued2020-
dc.date.submitted2020-12-
dc.identifier.citation<div class="csl-bib-body"> <div class="csl-entry">Waibel, P. (2020). <i>Cloud-based elasticity for business processes and data storage</i> [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.86637</div> </div>-
dc.identifier.urihttps://doi.org/10.34726/hss.2020.86637-
dc.identifier.urihttp://hdl.handle.net/20.500.12708/16479-
dc.description.abstractOver the last decade, the concept of cloud computing found widespread adoption as a way to provide software services to customers. Elasticity is often named as one of the major reasons for using cloud computing. This thesis focuses on the resource-efficient execution of business processes on elastic cloud-based resources and the redundant and cost-efficient storage of data on elastic cloud storages. Business Process Management Systems are often relying on heavyweight Virtual Machines as cloud-based execution environment for business processes or are not utilizing elastic cloud resources at all, leading to limited elasticity. In this thesis, we propose a novel approach by using lightweight containers as cloud-based execution environment, which decreases the required resource consumption and increases the elasticity compared to Virtual Machines. We develop an elastic Business Process Management System and a resource provisioning approach that optimizes the execution of concurrent business processes for resource efficiency while Service Level Agreements are considered. Due to the high elasticity, availability, durability, and low IT maintenance cost, cloud storage services have gained popularity in recent years. However, the decision which cloud storage service is the most suitable one is not trivial and relying on only one cloud storage service involves the risk of vendor lock-in. One solution to avoid this, is the redundant usage of different cloud storage services. In this thesis, we propose three different resource provisioning approaches for the cost-efficient data storage on multiple cloud storage services, by considering long-term storage services, customer-defined Service Level Agreements and monitored data access patterns.en
dc.formatxxiii, 178 Seiten-
dc.languageEnglish-
dc.language.isoen-
dc.subjectCloud Computingen
dc.subjectElasticityen
dc.subjectElastic Processesen
dc.subjectElastic Process Executionen
dc.subjectBusiness Processesen
dc.subjectCloud Storageen
dc.subjectOptimization for cost efficiencyen
dc.titleCloud-based elasticity for business processes and data storageen
dc.typeThesisen
dc.typeHochschulschriftde
dc.identifier.doi10.34726/hss.2020.86637-
dc.publisher.placeWien-
tuw.thesisinformationTechnische Universität Wien-
tuw.publication.orgunitE194 - Institut für Information Systems Engineering-
dc.type.qualificationlevelDoctoral-
dc.identifier.libraryidAC16111279-
dc.description.numberOfPages178-
dc.thesistypeDissertationde
dc.thesistypeDissertationen
item.openairetypeThesis-
item.openairetypeHochschulschrift-
item.openaccessfulltextOpen Access-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.fulltextwith Fulltext-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
Appears in Collections:Thesis

Files in this item:


Page view(s)

57
checked on Jul 23, 2021

Download(s)

94
checked on Jul 23, 2021

Google ScholarTM

Check


Items in reposiTUm are protected by copyright, with all rights reserved, unless otherwise indicated.