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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Foster, G. Keller, G. Tighe, M. Lutfiyya, H. Bauer, M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of Western Ontario, London, ON, Canada (Foster, G.; Keller, G.; Tighe, M.; Lutfiyya, H.; Bauer, M.) |
| Abstract | Applications are shifting into large scale, virtualized data centres that provide resources on a pay-per-usage basis. Data centres must minimize resource consumption while providing enough resources to meet application requirements. To meet highly variable application demands, a dynamic approach to virtual machine (VM) management is required. This involves three basic management operations: (i) placing newly arrived VMs, (ii) migrating (moving) VMs off of highly utilized machines to avoid performance degradation, and (iii) migrating VMs off of underutilized machines so that they may be shut down to save power. We define a management strategy to consist of a set of policies that guide these three operations. We consider the goals of minimizing Service Level Agreement violations and minimizing power consumption. Developing a management strategy to achieve both of these goals is challenging, as the goals are often in conflict. We propose achieving both goals through dynamically switching between two management strategies, each with a single goal, depending on current data centre state. We propose three methods of dynamically switching strategies, and evaluate these methods through simulation. Dynamic strategy switching offers improved results over a single management strategy. |
| Starting Page | 151 |
| Ending Page | 159 |
| File Size | 402892 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781467352291 |
| e-ISBN | 9783901882500 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-05-27 |
| Publisher Place | Belgium |
| Access Restriction | Subscribed |
| Rights Holder | IFIP |
| Subject Keyword | Switches Measurement Power demand Monitoring Resource management Stress Degradation SLA management data center management virtualized infrastructure management cloud management energy management |
| Content Type | Text |
| Resource Type | Article |
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