›› 2014,Vol. 29 ›› Issue (4): 618-630.doi: 10.1007/s11390-014-1454-5

所属专题: Computer Architecture and Systems

• Special Section on Selected Paper from NPC 2011 • 上一篇    下一篇

可再生能源驱动的绿色数据中心下的自主电源供给及供电异常处理

Chao Li1 (李超), Student Member, ACM, IEEE, Rui Wang2,* (王锐), Member, CCF, IEEE Yang Hu1 (胡杨), Ruijin Zhou1 (周睿晋), Ming Liu1 (刘铭), Long-Jun Liu3 (刘龙军) Jing-Ling Yuan4 (袁景凌), Tao Li1 (李涛), and De-Pei Qian2 (钱德沛), Member, CCF, IEEE   

  1. 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
  • 出版日期:2014-07-05 发布日期:2014-07-05
  • 作者简介: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.
  • 基金资助:

    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.

Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters

Chao Li1 (李超), Student Member, ACM, IEEE, Rui Wang2,* (王锐), Member, CCF, IEEE Yang Hu1 (胡杨), Ruijin Zhou1 (周睿晋), Ming Liu1 (刘铭), Long-Jun Liu3 (刘龙军) Jing-Ling Yuan4 (袁景凌), Tao Li1 (李涛), and De-Pei Qian2 (钱德沛), Member, CCF, IEEE   

  1. 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
  • Online:2014-07-05 Published:2014-07-05
  • About author: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.
  • Supported by:

    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.

设计环保可持续的系统已经成为计算机研究的前沿课题。面对日益增长的服务器电源功耗以及随之而来的环境问题(碳排放和全球变暖),工业界和学术界都开始对绿色能源(如风能和太阳能)驱动的计算机系统表现出极大的兴趣。现有的绿色数据中心设计主要关注对绿色能源利用率的优化和负载性能的优化。然而在传统数据中心设计下,可再生能源管理和负载性能管理依旧脱节。现有的体系结构没有把电源管理和负载管理有机的结合起来,并且没能有效地对绿色能源的供电异常进行处理。这篇论文介绍GreenPod,一个研究可扩展的电源管理和绿色计算的平台。GreenPod的一个重要特点是它把电源管理和服务器负载管理相结合,并且在服务器节点和可再生能源间提供了通讯机制以实现绿色能源驱动的负载迁移和供电异常处理。基于我们的原型机系统,我们研究探讨了面临市电掉电以及可再生能源不足情况下的虚拟机迁移问题。实验证明,在供电异常情况下虚拟机的可用性受处理器运行频率和负载特性的影响。本文提出的GreenPod是一个实用而有意义的平台,可以极大地推动绿色可靠计算的创新。

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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[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.

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