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- Publisher Website: 10.1109/CLOUD.2014.57
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Conference Paper: Adaptive live VM migration over a WAN: modeling and implementation
Title | Adaptive live VM migration over a WAN: modeling and implementation |
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Authors | |
Keywords | Cloud computing Virtualization Live migration Hybird-copy Wide-area networks Performance modeling Xen |
Issue Date | 2014 |
Publisher | IEEE 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? |
Abstract | Recent 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 Identifier | http://hdl.handle.net/10722/203646 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, W | en_US |
dc.contributor.author | Lam, KT | en_US |
dc.contributor.author | Wang, CL | en_US |
dc.date.accessioned | 2014-09-19T15:49:09Z | - |
dc.date.available | 2014-09-19T15:49:09Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.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 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/203646 | - |
dc.description.abstract | Recent 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.language | eng | en_US |
dc.publisher | IEEE Computer Society. | - |
dc.relation.ispartof | IEEE International Conference on Cloud Computing (CLOUD) Proceedings | en_US |
dc.subject | Cloud computing | - |
dc.subject | Virtualization | - |
dc.subject | Live migration | - |
dc.subject | Hybird-copy | - |
dc.subject | Wide-area networks | - |
dc.subject | Performance modeling | - |
dc.subject | Xen | - |
dc.title | Adaptive live VM migration over a WAN: modeling and implementation | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Lam, KT: kingtin@hku.hk | en_US |
dc.identifier.email | Wang, CL: clwang@cs.hku.hk | en_US |
dc.identifier.authority | Wang, CL=rp00183 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/CLOUD.2014.57 | - |
dc.identifier.scopus | eid_2-s2.0-84919793070 | - |
dc.identifier.hkuros | 239051 | en_US |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 8 | - |
dc.identifier.isi | WOS:000392940500047 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 141120 | - |