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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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
- data center
- server system
- renewable energy
- green computing