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Virtual machine cluster mobility in inter-cloud platforms

delete2017-09-01
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OA
AI
S
Stelios Sotiriadis *
N
Nik Bessis
E
Euripides G. M. Petrakis
C
Cristiana Amza
C
Cătălin Negru
M
Mariana Mocanu
DOI:10.1016/j.future.2016.02.007delete
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摘要

摘要

En 中文
Modern cloud computing applications developed from different interoperable services that are interfacing with each other in a loose coupling approach. This work proposes the concept of the Virtual Machine (VM) cluster migration, meaning that services could be migrated to various clouds based on different constraints such as computational resources and better economical offerings. Since cloud services are instantiated as VMs, an application can be seen as a cluster of VMs that integrate its functionality. We focus on the VM cluster migration by exploring a more sophisticated method with regards to VM network configurations. In particular, networks are hard to managed because their internal setup is changed after a migration, and this is related with the configuration parameters during the re -instantiation to the new cloud platform. To address such issue, we introduce a Software Defined Networking (SDN) service that breaks the problem of network configuration into tractable pieces and involves virtual bridges instead of references to static endpoints. The architecture is modular, it is based on the SDN OpenFlow protocol and allows VMs to be paired in cluster groups that communicate with each other independently of the cloud platform that are deployed. The experimental analysis demonstrates migrations of VM clusters and provides a detailed discussion of service performance for different cases. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Cloud computing
Cloud portability
Cloud service mobility
Software defined architecture
Cloud service migration
VM cluster migration
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期刊

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
论文数:
6.9K
被引数:
2.3W

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Technical University of Crete
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1.7K
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被引数: 2.6K
E
Edge Hill University
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1.2K
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被引数: 958
U
university of toronto
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14.8W
论文数: 12.0W
被引数: 165
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