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DC Field | Value | Language |
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dc.contributor.author | Joseph C.T. | |
dc.contributor.author | Martin J.P. | |
dc.contributor.author | Chandrasekaran K. | |
dc.contributor.author | Kandasamy A. | |
dc.date.accessioned | 2020-03-31T14:15:20Z | - |
dc.date.available | 2020-03-31T14:15:20Z | - |
dc.date.issued | 2018 | |
dc.identifier.citation | Advances in Intelligent Systems and Computing, 2018, Vol.645, pp.79-89 | en_US |
dc.identifier.uri | 10.1007/978-981-10-7200-0_7 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/13741 | - |
dc.description.abstract | The technology of Cloud computing has been ruling the IT world for the past few decades. One of the most notable tools that helped in prolonging the reign of Cloud computing is virtualization. While virtualization continues to be a boon for the Cloud technology, it is not short of its own pitfalls. One such pitfall results from the migration of virtual machines. Though migration incurs an overhead on the system, an efficient system cannot neglect migrating the virtual machines. This work attempts to carry out a perspective study on virtual machine migration. The various migration techniques proposed in the literature have been classified based on the aspects of migration that they consider. A survey of the various metrics that characterize the performance of a migration technique is also done. © 2018, Springer Nature Singapore Pte Ltd. | en_US |
dc.title | Virtual machine migration—a perspective study | en_US |
dc.type | Book Chapter | en_US |
Appears in Collections: | 3. Book Chapters |
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