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.
Several overview articles for Zero-carbon cloud can be found on this page.
2019 Overview and
2015 vision paper.
A related effort, the
is a flexible NSF-funded testbed for exploring volatility, power, energy, variability, and reliability.
- February 2019 News: New pubs accepted and submitted!
- Lancium startup is pursuing Zero-carbon cloud ideas, and building data centers on wind farms! (Lancium web site)
- 9/2018 News: The Zero-carbon Cloud project has just received funding from the NSF CRISP 2.0 program! (details here
). Efforts explore market, bilateral information sharing, optimization, and computing systems techniques to reduce the carbon footprint of cloud computing and increase renewable power absorption by the power grid.
- (NEW!) Hai Nguyen, Chaojie Zhang,
Zhujun Xiao, and Andrew A. Chien, Cloud Resource
Management for Bursty, Real-time Workloads, submitted for
publication, March 2019.
- (NEW!) 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
- (NEW!) 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.
, Chaojie (Sam) Zhang, Hai Nguyen, Arielle Rosenthal, and Linzixuan (Peter) Lin (UChicago),
Andrew A. Chien
, Mihai Anitescu (UChicago and Argonne),
(Argonne and U Wisconsin),
Former: Fan Yang, Jeremy Archer (UChicago)