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Improving Energy Efficiency for Mobile Media Cloud via Virtual Machine Consolidation

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Abstract

Mobile media applications are on the rise due to the explosive popularity of mobile devices. Advances in mobile media cloud (MMC) make it a promising solution to serve those huge multimedia applications. In MMC, virtualization is adopted to allocate resources elastically from a shared resource pool. Therefore, effective virtual machine (VM) consolidation is of paramount importance to maximize energy efficiency. In this paper, we consider a scenario that mobile media cloud performs video streaming and transcoding for viewers with different mobile devices. We formulate the VM consolidation problem as a mixed integer linear programming. Under this framework, the minimum energy consumption and the number of physical machines (PMs) in operation are derived. Based on these analytical results, for homogeneous media cloud, we develop an approximation algorithm for VM consolidation and placement which jointly considers CPU and bandwidth constraints. For heterogeneous media cloud, we derive an upper and a lower bound of the number of PMs and their energy consumption. Trace-driven simulations demonstrate that our proposed algorithm significantly reduces energy consumption and the number of PMs used.

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Acknowledgments

We are grateful to all the viewers that participated in the data collection. The authors wish to thank Weiwen Zhang for helpful discussion. This work is partly supported by the State Key Development Program of Basic Research of China (2013CB329005), the National Natural Science Foundation of China (Grants No. 61322104, No. 61201165, and No. 61271240), the Priority Academic Program Development of Jiangsu Higher Education Institutions, Nanjing University of Posts and Telecommunications Foundation (Grant No. NY211032) and Singapore EIRP02 (Grant NRF2012EWT-EIRP002-013).

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Authors and Affiliations

  1. Key Laboratory of Broadband Wireless Communications, Sensor Network Technology, Nanjing University of Posts and Telecommunication, 66 Xinmofan Road, Nanjing, 210003, China

    Yi Dong & Liang Zhou

  2. School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Yichao Jin & Yonggang Wen

Authors
  1. Yi Dong
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  2. Liang Zhou
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  3. Yichao Jin
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  4. Yonggang Wen
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Correspondence to Liang Zhou.

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Dong, Y., Zhou, L., Jin, Y. et al. Improving Energy Efficiency for Mobile Media Cloud via Virtual Machine Consolidation. Mobile Netw Appl 20, 370–379 (2015). https://doi.org/10.1007/s11036-015-0595-2

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