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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hyung Won Choi Sohn, A. Hukeun Kwak Kyusik Chung |
| Copyright Year | 2012 |
| Abstract | Service providers and enterprises capitalize on evolving cloud computing technologies when building datacenters for their own computing infrastructure and/or for providing services to others. Virtual machines and their migration are an important underlying technology of Infrastructure as a Service (IaaS) for building efficient cloud computing infrastructure on a cluster of servers. Autonomous migration of virtual machines is designed to increase the overall resource utilization on a cluster of servers. If a particular computing pattern caused imbalance that triggers migration, this pattern will be remembered or "learned" with its corresponding migration details for future use. In this paper, we use a proactive learning methodology that not only accumulates the past history of computing patterns and resulting migration decisions but more importantly searches all predefined possibilities for the most suitable decisions. We set up an experimental environment that consists of extensive real world benchmarking problems and a cluster of 16 physical machines each of which has on average eight virtual machines. We demonstrate through experimental results that our self regulated autonomous VM migration increases resource utilization of the servers on which cloud computing IaaS is currently running. |
| Starting Page | 1066 |
| Ending Page | 1073 |
| File Size | 463608 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467321648 |
| DOI | 10.1109/HPCC.2012.156 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-25 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Linux Unified modeling language virtual machines Virtual machining proactive learning History cloud computing autononous migration Monitoring Standards |
| Content Type | Text |
| Resource Type | Article |
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