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Flow and Virtual Machine Placement in Wireless Cloud Data Centers

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Quality, Reliability, Security and Robustness in Heterogeneous Networks (QShine 2016)

Abstract

Virtualization for cloud computing has been driving data centers to contain massive and diverse applications in a distributed manner. However, since existing network architectures do not supply enough network capacity for virtual machine (VM) interconnections, enhancing the network capacity with augmented wireless links has recently attracted a lot of research interests. Especially, architectural design and link scheduling of wireless data center networks (WDCNs) are of their main interests. However, the potential of WDCNs is under-estimated, since existing research efforts do not reflect flexibility of VM placement. To this end, in this paper, we explore another feasibility of WDCNs to combine dynamic VM placement algorithms. We design a low-complexity flow placement algorithm considering augmented wireless links with interference constraints, and discuss a set of VM placement algorithms under the flow placement algorithm. Our extensive evaluation of the algorithms in WDCNs with 60 GHz wireless links shows that combination of the flow and VM placement algorithms achieves better performance.

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Acknowledgments

This research was partly sponsored by NRF grant funded by the MSIP, Korea (No. 2013R1A2A2A01014000), and the MSIP, Korea, under the ITRC support program (IITP-2016-R0992-16-1012) supervised by the IITP.

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Correspondence to Wonjun Lee .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Roh, H., Kim, K., Pack, S., Lee, W. (2017). Flow and Virtual Machine Placement in Wireless Cloud Data Centers. In: Lee, JH., Pack, S. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-319-60717-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-60717-7_14

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  • Online ISBN: 978-3-319-60717-7

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