Zero-carbon cloud (ZCCloud) proposes a new approach to reduce the
carbon footprint of the rapidly growing cloud. Specifically
hyperscale cloud datacenter networks such as Amazon, Google, Microsoft,
Facebook, Apple, Baidu, Alibaba, and more are a growing problem
as they are driving the increase of electric power consumption in both
developed and developing world.
The ZCCloud approach exploits a growing phenomenon called
"stranded power", that is uneconomic due to geographic and
temporal mismatching, and delivery of volatile computing
services. The quantity of stranded power is growing rapidly
in Europe, the United States, China, and around the world as
renewable generation provides a growing fraction of
electrical power, exceeding gigawatts in major power grids.
Coordinated datacenter workload scheduling and management
matched to advanced grid management has the potential to
create carbon-free cloud computing that is essential to the
continued growth of cloud computing. Many interesting
scheduling, resource management, data center design,
distributed systems, power market, and power grid research
arise from this radical new approach of "supply-following" cloud computing.
Two Zero-carbon Cloud subprojects now have their own pages:
Several overview articles for Zero-carbon Cloud include a
and 2015 vision paper . Andrew Chien gave
keynote talk at the 2016 ACM PODC Conference outlining
interesting new distributed systems problems for sustainable cloud
computing approaches such as Zero-carbon cloud.
and Soluna are venture-funded
startups building over 1 gigawatt (1,000 megawatts) of Zero-carbon Cloud. ZCCloud builds on a prior effort, the
that created a flexible NSF-funded testbed for exploring volatility, power, energy, variability, and reliability.
- Two new ZCCloud papers! (August 2020), on regional load shifting, and stranded power in the ERCOT power grid!
- April 22, 2020: Google discloses workload time shifting
experiments (first steps to Zero-carbon Cloud!)
- April 18, 2020: Our paper on classifying power grid generator types using machine learning is accepted for presentation/publication at ACM e-Energy '20!
- January 2020: Real-time Serverless paper wins Best Paper award
at Workshop on Serverless Computing!
- (NEW!) Jiajia Zheng, Andrew A. Chien, and Sangwon Suh, Mitigating curtailment and
carbon emissions through data center load migration,
Joule, July 2020, to appear.
- (NEW!) Liuzixuan Lin and Andrew A. Chien, Characterizing Stranded Power in the ERCOT in Years 2012-2019: A Preliminary Report,
UChicago CS Tech Report, August 4, 2020.
Liuzixuan Lin and Andrew A. Chien, Automated Classification of Power Plants by Generation Type , ACM e-Energy '20, June 22-26, 2020, Melbourne, Australia.
Weiqi Zhang, Line A. Roald, Andrew A. Chien, John R. Birge, Victor M. Zavala,
"Flexibility from Networks of Data Centers: A Market Clearing Formulation with Virtual Links, 21st Power Systems Computation Conference (PSCC), June 29 - July 3, 2020 in Porto, Portugal. (also available from Arxiv CoRR abs/1910.05443 (2019) )
Andrew A. Chien, The Zero-Carbon Compute Project . University of Chicago Technical Report, October 1, 2019.
- (Best Paper Award Winner)
Hai Nguyen, Chaojie Zhang, Zhujun Xiao, and Andrew A. Chien, Real-time Serverless: Enabling Application Performance Guarantees , Workshop on Serverless Computing (WoSC'19), December 2019, Sacramento, California.
Junchen Jiang, Yuhao Zhou, Ganesh Ananthanarayanan, Yuanchao Shu, and Andrew A. Chien,
Networked Cameras are the new Big Data Clusters , Mobicom/HotEdge Video '19, October 2019, Los Cabos, Mexico.
- Hai Nguyen, Chaojie Zhang, Zhujun Xiao, and Andrew A. Chien,
Real-time Serverless: Cloud Resource Management for Bursty, Real-time Workloads,
UChicago Technical Report,
- Hai Nguyen,
Cloud Resource Management for Bursty, Real-time Workloads , MS Paper, UChicago Technical report, June 2019.
- Andrew A. Chien, Chaojie Zhang, and Hai
Nguyen. Zero-carbon Cloud: Research Challenges for Datacenters as
Supply-following Loads. UChicago Computer Science TR 2019-08, February
- Chaojie Zhang, Varun Gupta,
and Andrew A. Chien, Information Models: Creating and Preserving Value
in Volatile Cloud Resources , in the IEEE International Conference on
Cloud Engineering (IC2E), June 2019, Prague, Czechoslovakia.
- Chaojie Zhang, Managing the Value of Volatile Cloud Resources: Information Disclosure and Guarantee-Preserving Management , MS Thesis, Technical Report, Fall 2018.
Andrew A. Chien, Characterizing Opportunity Power in the California Independent System Operator (CAISO) in Years 2015-2017 , Technical Report, September 2018.
Andrew A. Chien, Fan Yang, and Chaojie Zhang, Characterizing Curtailed and Uneconomic Renewable Power in
the Mid-continent Independent System Operator , AIMS Energy, 2018, 6(2): 376-401. doi: 10.3934/energy.2018.2.376. May 3, 2018, Draft version January 2017, on Arxiv.org
- Chaojie Zhang, Varun Gupta, and Andrew A. Chien, "How to Increase the Value of Volatile Cloud Resources: Resource Management and Information Disclosure", Tech Report , April 2018.
- Fan Yang and Andrew A. Chien,
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.
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.
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)
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.
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)
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,
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, 8(1), January 2017. DOI
. (submitted version from March 2016 is available from
Fan Yang and Andrew A. Chien, ZCCloud: Exploring Wasted Green Power for High-Performance Computing , International Parallel and Distributed Processing Symposium (IPDPS), May 2016.
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.
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.
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.