Zero-carbon Cloud (and RIVER)


Zero-carbon cloud is exploring a new approach to computing that leverages recent advances in information technology (cloud computing, data center automation, system-focused analytics, etc.), and the advance of renewable energy generation to create truly "green" computing.  The goal is zero incremental carbon emissions.  A key aspect of this approach is the use of "stranded power", that is uneconomic due to geographic and temporal mismatching, and delivery of volatile computing services.  

Publications include:
  1. Fan Yang and Andrew A. Chien, "Scaling Supercomputing with Stranded Power: Costs and Capabilities", submitted for publication. (also available as University of Chicago Technical Report 2016-04, January 2016, Techreport link)
  2. Kibaek Kim, Fan Yang, Victor Zavala, and Andrew A. Chien, "Data Centers as Dispatchable Loads to Harness Stranded Power", to appear in IEEE Transactions on Sustainable Energy, DOI 10.1109/TSTE.2016.2593607.  (submitted version from March 2016 is available from Arxiv
  3. Fan Yang and Andrew A. Chien, "ZCCloud: Exploring Wasted Green Power for High-Performance Computing", in the  International Parallel and Distributed Processing Symposium (IPDPS), May 2016.  (also University of Chicago Technical Report 2015-09, October 2015.  Techreport Link)
  4. Mingzhe Hao, Gokul Soundararajan, Deepak Kenchammana-Hosekote, Andrew A. Chien, and Haryadi S. Gunawi, "The Tail at Store: A Revelation from Millions of Hours of Disk and SSD Deployments", in Proceedings of the USENIX Filesystems and Storage Technologies (FAST), February 2016, Santa Clara, CA.
  5. Andrew A. Chien, Rich Wolski, and Fan Yang, "Dispatchable Computational Loads to Tolerate Renewable Power Generation Variability", Energy Policy Research Conference, September 2015, Denver, Colorado.  In Electricity Journal, October 2015.
  6. Andrew A. Chien, Rich Wolski, and Fan Yang, "Zero-carbon Cloud: A Volatile Resource for High Performance Computing", Proceedings of the IEEE Workshop on Sustainable High-Performance Computing, October 2015, Liverpool, England.
People: Fan Yang, Chaojie (Sam) Zhang, and Jeremy Archer (UChicago), Andrew A. Chien, Mihai Anitescu (UChicago and Argonne), Rich Wolski (UCSB), Victor Tejada-Zavala (Argonne and U Wisconsin), Kibaek Kim (Argonne)
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