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Conference Paper: Online Cloud Resource Allocation and Pricing with Server Speed Scaling

TitleOnline Cloud Resource Allocation and Pricing with Server Speed Scaling
Authors
Issue Date2018
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
IEEE International Conference on Communications (IEEE ICC 2018), Kansas City, MO, USA, 20-24 May 2018 How to Cite?
AbstractThe provisioning of cloud computing services typically incurs huge electricity costs. Utilization maximization of the cloud resources and efficient resource pricing have been key factors determining a cloud provider's revenue. On the other hand, dynamic CPU speed scaling has been widely supported by modern operating systems and hypervisors as an efficient technique for CPU energy saving, potentially useful for cutting down provider's electricity bill. In this paper, we propose an online mechanism for resource allocation and pricing on a cloud platform, which enables dynamic CPU speed scaling for achieving the best job execution efficiency. Using a novel compact infinite optimization technique and the primal-dual online algorithm design framework, our online mechanism achieves computational efficiency, truthfulness, and near-optimal social welfare during the long run of the cloud system. Trace-driven simulation studies further demonstrate good performance of our mechanism in realistic settings.
Persistent Identifierhttp://hdl.handle.net/10722/259646

 

DC FieldValueLanguage
dc.contributor.authorLuo, Z-
dc.contributor.authorLi, Z-
dc.contributor.authorWu, C-
dc.date.accessioned2018-09-03T04:11:25Z-
dc.date.available2018-09-03T04:11:25Z-
dc.date.issued2018-
dc.identifier.citationIEEE International Conference on Communications (IEEE ICC 2018), Kansas City, MO, USA, 20-24 May 2018-
dc.identifier.urihttp://hdl.handle.net/10722/259646-
dc.description.abstractThe provisioning of cloud computing services typically incurs huge electricity costs. Utilization maximization of the cloud resources and efficient resource pricing have been key factors determining a cloud provider's revenue. On the other hand, dynamic CPU speed scaling has been widely supported by modern operating systems and hypervisors as an efficient technique for CPU energy saving, potentially useful for cutting down provider's electricity bill. In this paper, we propose an online mechanism for resource allocation and pricing on a cloud platform, which enables dynamic CPU speed scaling for achieving the best job execution efficiency. Using a novel compact infinite optimization technique and the primal-dual online algorithm design framework, our online mechanism achieves computational efficiency, truthfulness, and near-optimal social welfare during the long run of the cloud system. Trace-driven simulation studies further demonstrate good performance of our mechanism in realistic settings.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104-
dc.relation.ispartofIEEE International Conference on Communications (ICC)-
dc.rightsIEEE International Conference on Communications (ICC). Copyright © IEEE.-
dc.titleOnline Cloud Resource Allocation and Pricing with Server Speed Scaling-
dc.typeConference_Paper-
dc.identifier.emailWu, C: cwu@cs.hku.hk-
dc.identifier.authorityWu, C=rp01397-
dc.identifier.doi10.1109/ICC.2018.8422842-
dc.identifier.hkuros288751-
dc.publisher.placeUnited States-

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