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Conference Paper: Adaptive live VM migration over a WAN: modeling and implementation

TitleAdaptive live VM migration over a WAN: modeling and implementation
Authors
KeywordsCloud computing
Virtualization
Live migration
Hybird-copy
Wide-area networks
Performance modeling
Xen
Issue Date2014
PublisherIEEE Computer Society.
Citation
The 7th IEEE International Conference on Cloud Computing (CLOUD 2014), Anchorage, AK., 27 June-2 July 2014. In Conference Proceedings, 2014, p. 1-8 How to Cite?
AbstractRecent advances in virtualization technology enable high mobility of virtual machines and resource provisioning at the data-center level. To streamline the migration process, various migration strategies have been proposed for VM live migration over a local-area network (LAN). The most common solution uses memory pre-copying and assumes the storage is shared on the LAN. While applied to a wide-area network (WAN), the VM live migration algorithms need a new design philosophy to address the challenges of long latency, limited bandwidth, unstable network conditions and the movement of storage. This paper proposes a three-phase fractional hybrid pre-copy and post-copy solution for both memory and storage to achieve highly adaptive migration over a WAN. In this hybrid solution, we selectively migrate an important fraction of memory and storage in the pre-copy and freeze-and-copy phase, while the rest (non-critical data set) is migrated during post-copying. We propose a new metric called performance restoration agility, which considers both the downtime and the VM speed degradation during the post-copy phase, to evaluate the migration process. We also develop a profiling framework and a novel probabilistic prediction model to adaptively find a predictably optimal combination of the memory and storage fractions to migrate. This model-based hybrid solution is implemented on Xen and evaluated in an emulated WAN environment. Experimental results show that our solution wins over all others in adaptiveness for various applications over a WAN, while retaining the responsiveness of post-copy algorithms.
Persistent Identifierhttp://hdl.handle.net/10722/203646

 

DC FieldValueLanguage
dc.contributor.authorZhang, Wen_US
dc.contributor.authorLam, KTen_US
dc.contributor.authorWang, CLen_US
dc.date.accessioned2014-09-19T15:49:09Z-
dc.date.available2014-09-19T15:49:09Z-
dc.date.issued2014en_US
dc.identifier.citationThe 7th IEEE International Conference on Cloud Computing (CLOUD 2014), Anchorage, AK., 27 June-2 July 2014. In Conference Proceedings, 2014, p. 1-8en_US
dc.identifier.urihttp://hdl.handle.net/10722/203646-
dc.description.abstractRecent advances in virtualization technology enable high mobility of virtual machines and resource provisioning at the data-center level. To streamline the migration process, various migration strategies have been proposed for VM live migration over a local-area network (LAN). The most common solution uses memory pre-copying and assumes the storage is shared on the LAN. While applied to a wide-area network (WAN), the VM live migration algorithms need a new design philosophy to address the challenges of long latency, limited bandwidth, unstable network conditions and the movement of storage. This paper proposes a three-phase fractional hybrid pre-copy and post-copy solution for both memory and storage to achieve highly adaptive migration over a WAN. In this hybrid solution, we selectively migrate an important fraction of memory and storage in the pre-copy and freeze-and-copy phase, while the rest (non-critical data set) is migrated during post-copying. We propose a new metric called performance restoration agility, which considers both the downtime and the VM speed degradation during the post-copy phase, to evaluate the migration process. We also develop a profiling framework and a novel probabilistic prediction model to adaptively find a predictably optimal combination of the memory and storage fractions to migrate. This model-based hybrid solution is implemented on Xen and evaluated in an emulated WAN environment. Experimental results show that our solution wins over all others in adaptiveness for various applications over a WAN, while retaining the responsiveness of post-copy algorithms.en_US
dc.languageengen_US
dc.publisherIEEE Computer Society.-
dc.relation.ispartofIEEE International Conference on Cloud Computing (CLOUD) Proceedingsen_US
dc.rightsIEEE International Conference on Cloud Computing (CLOUD). Copyright © IEEE Computer Society.-
dc.rights©2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectCloud computing-
dc.subjectVirtualization-
dc.subjectLive migration-
dc.subjectHybird-copy-
dc.subjectWide-area networks-
dc.subjectPerformance modeling-
dc.subjectXen-
dc.titleAdaptive live VM migration over a WAN: modeling and implementationen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, KT: kingtin@hku.hken_US
dc.identifier.emailWang, CL: clwang@cs.hku.hken_US
dc.identifier.authorityWang, CL=rp00183en_US
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros239051en_US
dc.identifier.spage1-
dc.identifier.epage8-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 141120-

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