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Article: Fair Online Power Capping for Emergency Handling in Multi-Tenant Cloud Data Centers

TitleFair Online Power Capping for Emergency Handling in Multi-Tenant Cloud Data Centers
Authors
KeywordsPower management
Online fairness
Hybrid power provisioning
Multi-tenant cloud data centers
Issue Date2020
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6245519
Citation
IEEE Transactions on Cloud Computing, 2020, v. 8 n. 1, p. 152-166 How to Cite?
AbstractIn view of the high capital expense for scaling up power capacity to meet the escalating demand, maximizing the utilization of built capacity has become a top priority for multi-tenant data center operators, where many cloud providers house their physical servers. The traditional power provisioning guarantees a high availability, but is very costly and results in a significant capacity under-utilization. On the other hand, power oversubscription improves utilization but offers no availability guarantees due to the necessity of power reduction to handle the resulting power emergencies. Given these limitations, we propose a novel hybrid power provisioning approach, called HyPP, providing a combination of two different power availabilities to tenants: capacity with a very high availability, plus additional capacity with a medium availability that may be unavailable for up to a certain amount during each billing period. For HyPP, we design an online algorithm to coordinate tenants power reduction at runtime when the tenants aggregate power demand exceeds capacities. Our algorithm aims at achieving long-term fairness in tenants power reduction. We analyze the theoretical performance and derive a good competitive ratio in terms of fairness compared to the offline optimum. We also validate our algorithm through simulations under realistic settings.
Persistent Identifierhttp://hdl.handle.net/10722/259902
ISSN
2019 Impact Factor: 4.714
2015 SCImago Journal Rankings: 1.186

 

DC FieldValueLanguage
dc.contributor.authorSun, Q-
dc.contributor.authorRen, S-
dc.contributor.authorWu, C-
dc.date.accessioned2018-09-03T04:16:03Z-
dc.date.available2018-09-03T04:16:03Z-
dc.date.issued2020-
dc.identifier.citationIEEE Transactions on Cloud Computing, 2020, v. 8 n. 1, p. 152-166-
dc.identifier.issn2168-7161-
dc.identifier.urihttp://hdl.handle.net/10722/259902-
dc.description.abstractIn view of the high capital expense for scaling up power capacity to meet the escalating demand, maximizing the utilization of built capacity has become a top priority for multi-tenant data center operators, where many cloud providers house their physical servers. The traditional power provisioning guarantees a high availability, but is very costly and results in a significant capacity under-utilization. On the other hand, power oversubscription improves utilization but offers no availability guarantees due to the necessity of power reduction to handle the resulting power emergencies. Given these limitations, we propose a novel hybrid power provisioning approach, called HyPP, providing a combination of two different power availabilities to tenants: capacity with a very high availability, plus additional capacity with a medium availability that may be unavailable for up to a certain amount during each billing period. For HyPP, we design an online algorithm to coordinate tenants power reduction at runtime when the tenants aggregate power demand exceeds capacities. Our algorithm aims at achieving long-term fairness in tenants power reduction. We analyze the theoretical performance and derive a good competitive ratio in terms of fairness compared to the offline optimum. We also validate our algorithm through simulations under realistic settings.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6245519-
dc.relation.ispartofIEEE Transactions on Cloud Computing-
dc.rightsIEEE Transactions on Cloud Computing. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectPower management-
dc.subjectOnline fairness-
dc.subjectHybrid power provisioning-
dc.subjectMulti-tenant cloud data centers-
dc.titleFair Online Power Capping for Emergency Handling in Multi-Tenant Cloud Data Centers-
dc.typeArticle-
dc.identifier.emailWu, C: cwu@cs.hku.hk-
dc.identifier.authorityWu, C=rp01397-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TCC.2017.2762311-
dc.identifier.scopuseid_2-s2.0-85031782554-
dc.identifier.hkuros288744-
dc.identifier.volume8-
dc.identifier.issue1-
dc.identifier.spage152-
dc.identifier.epage166-
dc.publisher.placeUnited States-

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