- C Zhang, A Kumbhare, I Manousakis, D Zhang, P Misra, R Assis, K Woolcock, N Mahalingam, B Warrier, D Gauthier, L Kunnath, S Solomon, O Morales, M Fontoura, R Bianchini. Flex: High-Availability Datacenters With Zero Reserved Power, ISCA 2021
- Chaojie Zhang and Andrew A Chien. Scheduling Challenges for Variable Capacity Resources, JSSPP 2021
- Chaojie Zhang, Varun Gupta, and Andrew A. Chien, Creating and Preserving Value in Volatile Cloud Resources, IC2E 2019
- Hai Duc Nguyen, Chaojie Zhang, Zhujun Xiao, and Andrew A. Chien, Real-time Serverless: Enabling Application Performance Guarantees, Best Paper Award, WoSC 2019
- 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.
- Chaojie Zhang, Koichi Shirahata, Shuji Suzuki, Yutaka Akiyama, and Satoshi Matsuoka. Performance Analysis of MapReduce Implementations on High Performance Homology Search, HPCS 2015, Tokyo, Japan
Research Experience
- Worked in the Large-Scale Systems Group with Professor Andrew A. Chien
- Participated in the ZCCloud project, exploring a new approach to computing that leverages recent advances in information technology and renewable energy generation
- Administered the River project, a shared testbed exploring volatility, power, energy, variability, and reliability
- Participated in the Real-time Serverless project, enabling real-time, bursty cloud and edge applications through service guarantees
Education
Ph.D. in Computer Science from the University of Chicago, advisor: Andrew A. Chien; Bachelor's degree in Computer Science from the University of Minnesota, Twin Cities.
Background
Her research interests include resource management, power management, cloud and green computing. Her Ph.D. dissertation focused on job scheduling in variable capacity data centers for sustainability.
Miscellany
Recent Internship:
- SWE Intern at Google, SysInfra & ATI (2021.6 - 2021.9)
- AI+R Intern at Microsoft Research, System Cloud Efficiency Group (2020.6 - 2020.9)