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Volume 29 Issue 4
July  2014
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Chao Li, Rui Wang, Yang Hu, Ruijin Zhou, Ming Liu, Long-Jun Liu, Jing-Ling Yuan, Tao Li, De-Pei Qian. Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters[J]. Journal of Computer Science and Technology, 2014, 29(4): 618-630. DOI: 10.1007/s11390-014-1454-5
Citation: Chao Li, Rui Wang, Yang Hu, Ruijin Zhou, Ming Liu, Long-Jun Liu, Jing-Ling Yuan, Tao Li, De-Pei Qian. Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters[J]. Journal of Computer Science and Technology, 2014, 29(4): 618-630. DOI: 10.1007/s11390-014-1454-5
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Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters

  • 1. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, U.S.A.;
    2. School of Computer Science and Engineering, Beihang University, Beijing 100191, China;
    3. Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China;
    4. School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China

Funds: 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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  • Author Bio:

    Chao Li is a Ph.D. candidate at the University of Florida. His research focuses on computer architecture design for sustainability. He received his B.S. degree with honors in electronic and information engineering from Zhejiang University in 2009. He is a Facebook Graduate Fellow and a student member of IEEE and ACM SIGARCH.

  • Published Date: July 04, 2014
    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 interests 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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