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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sijin He Li Guo Yike Guo |
| Copyright Year | 2011 |
| Abstract | An Infrastructure-as-a-Service (IaaS) provider is usually assumed to own a large data centre with significant computational resources. For a small or medium sized Internet Data Centre (IDC), offering cloud computing service is a nature of business model but there are technical barriers which need to be resolved. One of the key issues is ineffective resource management given such an IDC usually has only limited resource. In this paper, we propose an efficient resource management solution specially designed for helping small and medium sized IaaS cloud providers to better utilise their hardware resources with minimum operational cost. Such an optimised resource utilisation is achieved by a well-designed underlying hardware infrastructure, an efficient resource scheduling algorithm and a set of migrating operations of VMs. |
| Starting Page | 622 |
| Ending Page | 629 |
| File Size | 320475 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457708367 |
| ISSN | 21596190 |
| DOI | 10.1109/CLOUD.2011.47 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Cloud computing Virtual machine monitors Cloud Computing Memory management Resource Scheduling VM Migration IaaS Hardware Servers Resource management |
| Content Type | Text |
| Resource Type | Article |
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