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.  The RIVER system is a flexible NSF-funded testbed for exploring volatility, power, energy, variability, and reliability.

Publications:
  1. Chaojie Zhang, Varun Gupta, and Andrew A. Chien, "How to Increase the Value of Volatile Cloud Resources: Resource Management and Information Disclosure", Tech Report , submitted for publication.
  2. Fan Yang and Andrew A. Chien, Large-scale and Extreme-Scale Computing with Stranded Green Power: Opportunities and Costs , IEEE Transactions on Parallel and Distributed Systems, Volume 29, Issue 5, 12 December 2017, pp. 1103-1116.
  3. Fan Yang, Haryadi Gunawi, and Andrew A. Chien, "Exploring the Challenges and Opportunities of Cloud Stacks in Dynamic Resource Environments", IEEE Symposium on Collaboration and Internet Computing , San Jose, California, October 2017.
  4. Fan Yang, Haryadi Gunawi, and Andrew A. Chien, Resilient Cloud in Dynamic Resource Environments , ACM Symposium on Cloud Computing (SoCC), Santa Clara, Californi, September 2017 (Poster)
  5. Mingzhe Hao, Huaicheng Li, Michael Hao Tong, Chrisma Pakha, Riza O. Suminto, Cesar A. Stuardo, Andrew A. Chien, Haryadi S. Gunawi. "MittOS: Operating System Support for Millisecond Tail Tolerance in Data-Parallel Storage , in Proceedings of the ACM Symposium on Operating Systems Principles, October 2017, Shanghai, China.
  6. Andrew A. Chien, Fan Yang, and Chaojie Zhang, " Characterizing Curtailed and Uneconomic Renewable Power in the Mid-continent Independent System Operator", January 2017, Available on Arxiv.org
  7. Shiqin Yan, Huaicheng Li, Mingzhe Hao, Michael Hao Tong, Swaminathan Sundararaman, Andrew A. Chien, and Haryadi Gunawi.   Tiny-Tail Flash: Near-Perfect Elimination of Garbage Collection Tail Latencies in NAND SSDs ,  in Proceedings of the USENIX Filesystems and Storage Technologies (FAST), February 2017, Santa Clara, CA. (best paper finalist)
  8. Fan Yang and Andrew A. Chien, "Scaling Supercomputing with Stranded Power: Costs and Capabilities", Also  available as University of Chicago Technical Report 2016-04, January 2016,  Techreport link
  9. Kibaek Kim, Fan Yang, Victor Zavala, and Andrew A. Chien, "Data Centers as Dispatchable Loads to Harness Stranded Power", in IEEE Transactions on Sustainable Energy, DOI  10.1109/TSTE.2016.2593607 .  (submitted version from March 2016 is available from Arxiv
  10. Fan Yang and Andrew A. Chien, ZCCloud: Exploring Wasted Green Power for High-Performance Computing , International Parallel and Distributed Processing Symposium (IPDPS), May 2016.
  11. 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.
  12. 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.
  13. 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)