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dc.contributor.authorXue, Noha
dc.date.accessioned2015-08-25T22:00:53Z
dc.date.available2015-08-25T22:00:53Z
dc.date.issued2015
dc.identifier.citationXue, Noha. Automated cloud bursting on a hybrid cloud platform. Master thesis, University of Oslo, 2015
dc.identifier.urihttp://hdl.handle.net/10852/45178
dc.description.abstractHybrid cloud technology is becoming increasingly popular as it merges private and public cloud to bring the best of two worlds together. However, due to the heterogeneous cloud installation, facilitating a hybrid cloud setup is not simple. In this thesis, Apache Mesos is used to abstract resources in an attempt to build a hybrid cloud on multiple cloud platforms, private and public. Viable setups for increasing the availability of the hybrid cloud are evaluated, as well as the feasibility and suitability of data segmentation. Additionally an automated cloud bursting solution is outlined and implementation has been done in an attempt to dynamically scale the hybrid cloud solution to temporarily expand the resource pool available in the hybrid cloud platform using spot price instances to maximize economical efficiency. The thesis presents functional and viable solutions with respect to availability, segmentation and automated cloud bursting for a hybrid cloud platform. However, further work remains to be done to further improve and confirm the outlined solution, in particular a performance analysis of the proposed solutions.eng
dc.language.isoeng
dc.subjectapache
dc.subjectmesos
dc.subjectcloud
dc.subjectbursting
dc.subjecthybrid
dc.subjectspot
dc.subjectinstances
dc.subjectavailability
dc.subjectsegmenting
dc.subjectheterogeneous
dc.subjectinstallation
dc.titleAutomated cloud bursting on a hybrid cloud platformeng
dc.typeMaster thesis
dc.date.updated2015-08-25T22:00:53Z
dc.creator.authorXue, Noha
dc.identifier.urnURN:NBN:no-49426
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/45178/1/xue_master.pdf


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