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| Content Provider | ACM Digital Library |
|---|---|
| Author | Zaman, Sharrukh Grosu, Daniel |
| Abstract | Efficient Virtual Machine (VM) provisioning and allocation allows the cloud providers to effectively utilize their available resources and obtain higher profits. As supported by the economic theory, combinatorial auction-based mechanisms are more efficient than fixed price-based mechanisms for problems similar to the VM allocation problem in clouds. However, a standard combinatorial auction-based mechanism assumes that VM instances are already provisioned, that is, it assumes static VM provisioning. A better solution would be to take into account the users' demand when provisioning VM instances. We design an auction-based mechanism for dynamic VM provisioning and allocation that takes into account the user demand for VMs when making VM provisioning decisions. We perform extensive simulation experiments using real workload traces and show that the proposed mechanism can improve the utilization, increase the efficiency of allocation, and yield higher revenue for the cloud provider. |
| Starting Page | 111 |
| Ending Page | 112 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450310307 |
| DOI | 10.1145/2148600.2148658 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-11-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Combinatorial auctions Cloud computing Dynamic resource allocation Vm allocation |
| Content Type | Text |
| Resource Type | Article |
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