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| Content Provider | ACM Digital Library |
|---|---|
| Author | Nasim, Robayet Kassier, Andreas J. |
| Abstract | In virtualized datacenters (vDCs), dynamic consolidation of virtual machines (VMs) is used as one of the most common techniques to achieve both energy- and resource- utilization efficiency. Live migrations of VMs are used for dynamic consolidation but due to dynamic resource demand variation of VMs may lead to frequent and non-optimal migrations. Assuming deterministic workload of the VMs may ensure the most energy/resource-efficient VM allocations but eventually may lead to significant resource contention or under-utilization if the workload varies significantly over time. On the other hand, adopting a conservative approach by allocating VMs depending on their peak demand may lead to low utilization, if the peak occurs infrequently or for a short period of time. Therefore, in this work we design a robust VM migration scheme that strikes a balance between protection for resource contention and additional energy costs due to powering on more servers while considering uncertainties on VMs resource demands. We use the theory of Γ robustness and derive a robust Mixed Integer Linear programming (MILP) formulation. Due to the complexity, the problem is hard to solve for online optimization and we propose a novel heuristic based on Tabu search. Using several scenarios, we show that that the proposed heuristic can achieve near optimal solution qualities in a short time and scales well with the instance sizes. Moreover, we quantitatively analyze the trade-off between energy cost versus protection level and robustness. |
| Starting Page | 170 |
| Ending Page | 180 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781509066100 |
| DOI | 10.1109/CCGRID.2017.35 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-05-14 |
| Access Restriction | Subscribed |
| Subject Keyword | Robust optimization Tabu search Vm consolidation Resource allocation Vm migration Energy efficiency Virtualized datacenters |
| Content Type | Text |
| Resource Type | Article |
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