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Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters

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Abstract

Designing eco-friendly system has been at the forefront of computing research. Faced with a growing concern about the server energy expenditure and the climate change, both industry and academia start to show high interest in computing systems powered by renewable energy sources. Existing proposals on this issue mainly focus on optimizing resource utilization or workload performance. The key supporting hardware structures for cross-layer power management and emergency handling mechanisms are often left unexplored. This paper presents GreenPod, a research framework for exploring scalable and dependable renewable power management in datacenters. An important feature of GreenPod is that it enables joint management of server power supplies and virtualized server workloads. Its interactive communication portal between servers and power supplies allows datacenter operators to perform real-time renewable energy driven load migration and power emergency handling. Based on our system prototype, we discuss an important topic: virtual machine (VM) workloads survival when facing extended utility outage and insufficient onsite renewable power budget. We show that whether a VM can survive depends on the operating frequencies and workload characteristics. The proposed framework can greatly encourage and facilitate innovative research in dependable green computing.

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References

  1. Koomey J. Growth in Data Center Electricity Use 2005 to 2010. Analytics Press, 2011.

  2. Goiri I, Katsak W, Le K et al. Parasol and GreenSwitch: Managing datacenters powered by renewable energy. In Proc. ASPLOS, March 2013, pp.51-64.

  3. Li C, Zhang W, Cho C et al. SolarCore: Solar energy driven multi-core architecture power management. In Proc. the 17th HPCA, February 2011, pp.205-216.

  4. Sharma N, Barker S, Irwin D et al. Blink: Managing server clusters on intermittent power. In Proc. the 16th ASPLOS, March 2011, pp.185-198.

  5. Goiri I, Le K, Nguyen T et al. GreenHadoop: Leveraging green energy in data-processing frameworks. In Proc. the 7th EuroSys, April 2012, pp.57-70.

  6. Zhang Y, Wang Y, Wang X et al. GreenWare: Greening cloud-scale data centers to maximize the use of renewable energy. In Proc. the 12th ACM/IFIP/USENIX Int. Middle-ware Conference (Middleware), Dec. 2011, pp.143-164.

  7. Deng N, Stewart C, Gmach D et al. Adaptive green hosting. In Proc. the 9th USENIX ICAC, Sept. 2012, pp.135-144.

  8. Liu Z, Lin M, Wierman A et al. Greening geographical load balancing. In Proc. ACM SIGMETRICS, June 2011, pp.233-244.

  9. Li C, Qouneh A, Li T. iSwitch: Coordinating and optimizing renewabel energy powered server clusters. In Proc. the 39th ACM/IEEE ISCA, June 2012, pp.512-523.

  10. Li C, Zhou R, Li T. Enabling distributed generation powered sustainable high-performance data center. In Proc. the 19th HPCA, February 2013, pp.35-46.

  11. Ren C, Wang D, Urgaonkar B et al. Carbon-aware energy capacity planning for datacenters. In Proc. the 20th MAS-COTS, August 2012, pp.391-400.

  12. Li C, Hu Y, Zhou R et al. Enabling datacenter servers to scale out economically and sustainably. In Proc. the 46th MICRO, December 2013, pp.322-333.

  13. Arlitt M, Bash C, Blagodurov S et al. Towards the design and operation of net-zero energy data centers. In Proc. the 13th IEEE Intersociety Conference on Thermal and Thermome-chanical Phenomena in Electronic Systems (ITherm), May 39-June 1, 2012, pp.552-561.

  14. Deng N, Stewart C, Li J. Concentrating renewable energy in grid-tied datacenters. In Proc. Int. Symp. Sustainable Systems and Technology, May 2011, pp.1-6.

  15. Kontorinis V, Zhang L, Aksanli B et al. Managing distributed ups energy for e®ective power capping in data centers. In Proc. the 39th ACM/IEEE ISCA, June 2012, pp.488-499.

  16. Flautner K, Mudge T. Vertigo: Automatic performance-setting for Linux. In Proc. the 5th USENIX Symp. OSDI, Dec. 2002, pp.105-116.

  17. Drouilhet S, Johnson B. A battery life prediction method for hybrid power applications. Technical Report, National Renewable Energy Lab, 1997.

  18. Navigant Consulting Inc., National Renewable Energy Lab. A review of PV inverter technology cost and performance projections. Technical Report. 2006

  19. Feldman D, Barbose G, Margolis R et al. Photovoltaic (PV) pricing trends: Historical, recent, and near-term projections. Joint Technical Report, DOE/GO-102012-3839, National Renewable Energy Laboratory, Lawrence Berkeley National Laboratory, 2012.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.

    Chao Li, Yang Hu, Ruijin Zhou, Ming Liu & Tao Li

  2. School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

    Rui Wang & De-Pei Qian

  3. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, 710049, China

    Long-Jun Liu

  4. School of Computer Science and Technology, Wuhan University of Technology, Wuhan, 430070, China

    Jing-Ling Yuan

Authors
  1. Chao Li
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  2. Rui Wang
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  3. Yang Hu
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  4. Ruijin Zhou
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  5. Ming Liu
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  6. Long-Jun Liu
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  7. Jing-Ling Yuan
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  8. Tao Li
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  9. De-Pei Qian
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Corresponding author

Correspondence to Rui Wang.

Additional information

The work is supported by the National High Technology Research and Development 863 Program of China under Grant No. 2012AA010902, the National Natural Science Foundation of China under Grant Nos. 61128004, 61133004, and 61073011, and the Fundamental Research Funds for the Central Universities of China under Grant No. YWF-14-JSJXY-15.

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Li, C., Wang, R., Hu, Y. et al. Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters. J. Comput. Sci. Technol. 29, 618–630 (2014). https://doi.org/10.1007/s11390-014-1454-5

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  • DOI: https://doi.org/10.1007/s11390-014-1454-5

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