- I am a Fifth-year Computer Science Ph.D. candidate at Emerging Parallel Computer Center (EPCC) , Shanghai Jiao Tong University, advised by Prof. Quan Chen and Prof. Minyi Guo.
- I received my B.S. degree in software engineering from Dalian University of Technology in 2019.
- My research interests include： Cloud Native, Microservice Resource Management, Cross-region Task Scheduling, etc.
- Tel: +8619821288336, Email: shijiuchen@sjtu.edu.cn
- Latest CV: English Chinese
Publications
USENIX ATC 2023
Jiuchen Shi, Quan Chen, Zhixin Tong, Hang Zhang, Kaihua Fu, Minyi Guo. "Nodens: Enabling Resource Efficient and Fast QoS Recovery of Dynamic Microservice Applications in Datacenters". [paper]SoCC 2022
Jiuchen Shi, Kaihua Fu, Quan Chen, Changpeng Yang, Pengfei Huang, Mosong, Zhou, Jieru Zhao, Chen Chen, Minyi Guo. "Characterizing and orchestrating VM reservation in geo-distributed clouds to improve the resource efficiency". [paper]IPDPS 2022
Jiuchen Shi, Jiawen Wang, Kaihua Fu, Quan Chen, Deze Zeng, Minyi Guo. "QoS-awareness of Microservices with Excessive Loads via Inter-Datacenter Scheduling". [paper]JCST 2022
Jiuchen Shi, Xiaoqing Cai, Wenli Zheng, Quan Chen, Deze Zeng, Tsuchiya Tatsuhiro, Minyi Guo. "Reliability and Incentive of Performance Assessment for Decentralized Clouds". [paper]SC 2023
Kaihua Fu, Quan Chen, Yuzhuo Yang, Jiuchen Shi, Chao Li, Minyi Guo. "BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training". [paper]SC 2022
Kaihua Fu, Jiuchen Shi, Quan Chen, Ningxin Zheng, Wei Zhang, Deze Zeng, Minyi Guo. "QoS-aware irregular collaborative inference for improving throughput of DNN services". [paper]ICPP 2020
Xiaoqing Cai, Jiuchen Shi, Rui Yuan, Chang Liu, Wenli Zheng, Quan Chen, Chao Li, Jingwen Leng, Minyi Guo. "OVERSEE: Outsourcing verification to enable resource sharing in edge environment". [paper]
Projects
- Joint Optimization of Compute and Network Cost among Geo-distributed Datacenters
- Research project collaborate with Huawei Cloud, Project Leader, 2023.02-now
- Considering the network cost caused by the different positions between data and compute, this project decids multi-tenants’ VM request scheduling and the data placement among geo-distributed datacenters, to comprehensively optimized the deployment cost.
- Resource Reservation under Ultimate Elasticity
- Research project collaborate with Huawei Cloud, Project Leader, 2021.09-2022.09
- Facing with different VM requests patterns of large tenants in public cloud, this project orchestrates computing resources among geo-distributed datacenters to reduce cost and support more requests.
