Efficient Pricing Methods in The Cloud Computing Market

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atmire.migration.oldid5341
dc.contributor.advisorLi, Zongpeng
dc.contributor.authorSoleimani, Maryam
dc.contributor.committeememberWilliamson, Carey
dc.contributor.committeememberJacobson, Michael J. Jr
dc.date.accessioned2017-02-02T16:50:16Z
dc.date.available2017-02-02T16:50:16Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractThe emerging cloud computing paradigm enables cloud systems to provide multiple heterogeneous types of cloud resources for end customers over a network. Users and providers in these systems attempt to maximize their revenue using well-designed pricing methods. Auctions are considered as efficient mechanisms for resource sharing and charging users in cloud systems. We study the online social welfare maximization problem at a cloud market, and design efficient pricing functions to be used in online auction mechanisms for cloud resource provisioning, for tasks with completion deadlines. Combining the techniques of primal-dual approximation algorithm design with our proposed pricing methods, we design a cloud auction that runs efficiently in polynomial time, guarantees truthfulness, and achieves near-optimal social welfare, in the cloud eco-system. Simulation studies con rm the efficacy of the proposed mechanism.en_US
dc.identifier.citationSoleimani, M. (2017). Efficient Pricing Methods in The Cloud Computing Market (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25848en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25848
dc.identifier.urihttp://hdl.handle.net/11023/3629
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectComputer Science
dc.subject.otherCloud Computing
dc.subject.otherAuction Mechanism
dc.subject.otherPricing Methods
dc.subject.otherOnline Algorithm
dc.titleEfficient Pricing Methods in The Cloud Computing Market
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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