Abstract
Host virtualization allows data centers to live migrate an entire Virtual Machine (VM) to support data center maintenance and workload balancing. Live VM migration can consume nearly the entire bandwidth which impacts the performance of competing flows in the network. Knowing the cost of VM migration propels data center admins to intelligently reserve minimum bandwidth required to ensure a network-aware VM migration. Recently, Remedy was proposed as a cost estimation model to calculate total traffic generated due to VM migration. Unlike the previous approaches, Remedy makes it possible to incorporate network topology leading to a more intelligent allocation of network resources during VM migration. However, Remedy was evaluated within a simulated environment running on a single machine. In this chapter, we empirically evaluate the performance of Remedy in an experimental GENI testbed characterized by wide-area network dynamics and realistic traffic scenarios. We deploy OpenFlow end-to-end QoS policies to reserve minimum bandwidths required for successful VM migration. Preliminary results demonstrate that bandwidth reservation relieves the network of possible overloads during migration. We show that Remedy works best with link bandwidths of 1 Gbps and above and page dirty rates below 3000 pages. We present realistic scenarios that affect the accuracy of the cost estimation model. We conclude that link bandwidth, page dirty rate, and user specified progress amount are the critical parameters in determining VM migration cost.
Keywords
- Virtual Machine
- Software Define Networking
- Virtual Machine Migration
- Link Bandwidth
- Bandwidth Reservation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This chapter includes copyrighted materials, which were reproduced with permission of IEEE and the authors. The original article is: Hellen Maziku and Sachin Shetty, “Towards a network aware VM migration: Evaluating the cost of VM migration in cloud data centers”, IEEE International Conference on Cloud Networking (CloudNet 2014), pp.114–119, 8–10 Oct. 2014, ©IEEE. Reprinted by permission.
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Acknowledgements
This work is based on research sponsored by the Office of the Assistant Secretary of Defense for Research and Engineering (OASD(R&E)) under agreement number FAB750-15-2-0120. The US Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Office of the Assistant Secretary of Defense for Research and Engineering (OASD(R&E)) or the US Government. This work is also supported in part by an ARO grant W911NF-12-1-0055, National Science Foundation (NSF) Grant HRD-1137466, Department of Homeland Security (DHS) SLA grant 2010-ST-062-0000041 and 2014-ST-062-000059.
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Shetty, S., Yuchi, X., Song, M. (2016). Towards a Network-Aware VM Migration: Evaluating the Cost of VM Migration in Cloud Data Centers. In: Moving Target Defense for Distributed Systems. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-31032-9_5
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DOI: https://doi.org/10.1007/978-3-319-31032-9_5
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