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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei Shi Furlong, J. Runxin Wang |
| Copyright Year | 2013 |
| Description | Author affiliation: Telecommun. Software & Syst. Group, Waterford Inst. of Technol., Waterford, Ireland (Lei Shi; Furlong, J.; Runxin Wang) |
| Abstract | As the proliferation of cloud data centers has been progressing in recent years, the power consumed in cloud enterprises has increased also. Strategies to reduce the power consumption of a data center can be modelled into variants of vector bin packing algorithms. The application of virtualization technology allows a large number of virtual machines (VMs), treated as items, to be concurrently hosted into relatively fewer number of Physical Machines (PMs), treated as bins, as long as the sum capacity of the co-located VMs does not exceed the capacity of a hosting PM. This paper addresses the problem of which vector bin packing strategy to use in attempting to first consolidate VMs in a data center, the aim of which is to reduce power consumption by powering off unused PMs, then going forward, which strategy to adopt when packing new VM requests to PMs as optimally as possible. |
| Starting Page | 000009 |
| Ending Page | 000015 |
| File Size | 354170 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479937554 |
| DOI | 10.1109/ISCC.2013.6754915 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-07 |
| Publisher Place | Croatia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vectors Sorting Heuristic algorithms Algorithm design and analysis Optimization Bandwidth Measurement |
| Content Type | Text |
| Resource Type | Article |
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