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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jangiti, Saikishor | - |
dc.date.accessioned | 2023-01-23T07:16:26Z | - |
dc.date.available | 2023-01-23T07:16:26Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://publications.eai.eu/index.php/ew/article/view/911 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8656 | - |
dc.description.abstract | The dynamic consolidation of Virtual Machines (VMs) into a minimum number of Physical Machines (PMs) is a key energy-efficient practice in a cloud data centre, to reduce the running PMs and save electricity costs. We proposed a migration based VM consolidation approach for reserved requests. Real Dataset EC2 was used in the simulation experiments. The proposed BBPMM has demonstrated the elastic capability of adjusting the running PMs and it reduced 38% of running PMs in a reservation transition period. | en_US |
dc.language.iso | en | en_US |
dc.publisher | European Alliance for Innovation | en_US |
dc.subject | Computer Science | en_US |
dc.subject | VM consolidation | en_US |
dc.subject | Reserved instances | en_US |
dc.subject | Standard instances | en_US |
dc.subject | Bulk-bin-packing | en_US |
dc.subject | Cloud computing | en_US |
dc.title | Bulk-bin-packing based migration management of reserved virtual machine requests for green cloud computing | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Computer Science and Information Systems |
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