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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.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.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/CLOUD.2014.57-
dc.identifier.scopuseid_2-s2.0-84919793070-
dc.identifier.hkuros239051en_US
dc.identifier.spage1-
dc.identifier.epage8-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 141120-

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