Cost-efficient virtual machine management in data centers
Description
Virtual Machine (VM) management is an obvious need in today's data centers for various management activities and is accomplished in two phases— finding an optimal VM placement plan and implementing that placement through live VM migrations. These phases result in two research problems— VM placement problem (VMPP) and VM migration scheduling problem (VMMSP). This research proposes and develops several evolutionary algorithms and heuristic algorithms to address the VMPP and VMMSP. Experimental results show the effectiveness and scalability of the proposed algorithms. Finally, a VM management framework has been proposed and developed to automate the VM management activity in cost-efficient way.
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| ID Code: | 94743 |
|---|---|
| Item Type: | QUT Thesis (PhD) |
| Supervisor: | Tang, Maolin & Feng, Yanming |
| Keywords: | Data center, Virtual Machine,, Physical Machine, Live Migration, Migration Time, Downtime, Scheduling, Optimization, Evolutionary Algorithm, Genetic Algorithm |
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Schools > School of Electrical Engineering & Computer Science |
| Institution: | Queensland University of Technology |
| Deposited On: | 28 Apr 2016 02:18 |
| Last Modified: | 08 Sep 2017 14:51 |
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