4th-Year Ph.D. Student, CCNT Lab   AdvanCed Computing aNd SysTem Laboratory   College of Computer Science and Technology   Zhejiang University, Hangzhou 310027, China   Supervisor: Prof. Shuiguang Deng (ZJU)   Email: hliangzhao97 {AT} gmail {DOT} com   Laboratory: Cao Guangbiao Sci-tech Building, Yuquan Campus of Zhejiang University

Biography

Currently I am a fourth-year Ph.D. student of College of Computer Science and Technology, Zhejiang University. Before my Ph.D. career, I was an undergraduate student from Wuhan University of Technology and received my B.Eng. degree in Computer Science and Technology on June, 2019. In September 2019, I was admitted to study for a Ph.D. degree in Zhejiang University under the supervision of Prof. Shuiguang Deng without entrance examination. [CV] [简历]

From Sep. 2022 to Aug. 2023, I am a joint PhD student at Nanyang Technological University (NTU), Singapore, under the supervision of Prof. Xueyan Tang.

Github Profile: https://github.com/hliangzhao
Research Gate: https://www.researchgate.net/profile/Hailiang-Zhao-4
Google Scholar: https://scholar.google.com/citations?hl=en&user=wMj2rFsAAAAJ

IMPORTANT NOTICE: Related documents, notes, and slides can be found at here. Technology blogs on related topics are available at hliangzhao.cn.

Research Interests

Currently I am focusing on Cloud & Edge Computing, Distributed Computing & Systems, and Optimization Algorithm Design & Analysis. Recently, I pay great attention to the following topics:

• Resource Allocation & Job Scheduling Algorithms with Theoretical Guarantees
  Scheduling algorithms are key to realizing improvements in resource utilization for the cloud-native applications. I am interested with the design and analysis of scheduling algorithms for large-scale clusters, DCs, cluster federations, etc. Currently I put special effort on deep learning workload scheduling in GPU clusters.
• Ready-for-Use Cluster Schedulers in K8s-Native Systems
  K8s (Kubernetes) is an open-source system for automating deployment, scaling, and management of containerized applications. Kube-scheduler is the default component responsible for the scheduling of pods (a set of inter-related containers). By leveraging the power of CRD (Custom Resource Definition), customer schedulers can be designed. I am interested with the R&D of custom schedulers for various batch & elastic workloads.

Selected Publications

• Hailiang Zhao, Shuiguang Deng*, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Theoretically Guaranteed Online Workload Dispatching for Deadline-Aware Multi-Server Jobs. In: arXiv preprints.
• Hailiang Zhao, Shuiguang Deng*, Feiyi Chen, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds. In: IEEE Trans. on Parallel and Distributed Systems (TPDS), vol. 34, no. 1, pp. 234-245, 1 Jan. 2023, doi: 10.1109/TPDS.2022.3215947.
• Haowei Chen, Shuiguang Deng, Hongze Zhu, Hailiang Zhao, Rong Jiang, Schahram Dustdar, and Albert Y. Zomaya, Mobility-aware Offloading and Resource Allocation for Distributed Services Collaboration. In: IEEE Trans. on Parallel and Distributed Systems (TPDS), vol. 33, no. 10, pp. 2428-2443, 1 Oct. 2022, doi: 10.1109/TPDS.2022.3142314.
• Shuiguang Deng, Hailiang Zhao, Zhengzhe Xiang, Cheng Zhang, Rong Jiang, Ying Li*, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Dependent Function Embedding for Distributed Serverless Edge Computing. In: IEEE Trans. on Parallel and Distributed Systems (TPDS), vol. 33, no. 10, pp. 2346-2357, 1 Oct. 2022, doi: 10.1109/TPDS.2021.3137380. [Slide]
• Hailiang Zhao, Shuiguang Deng*, Zijie Liu, Zhengzhe Xiang, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks. In: IEEE Trans. on Mobile Computing (TMC), vol. 21, no. 12, pp. 4296-4309, 1 Dec. 2022, doi: 10.1109/TMC.2021.3074934. [Slide]
• 陈昊崴，邓水光*，赵海亮，尹建伟，面向移动边缘的组合服务选择及优化，计算机学报 (Chinese Journal of Computers)，doi: 10.11897/SP.J.1016.2022.00082。
• Hailiang Zhao, Shuiguang Deng, Zijie Liu, Zhengzhe Xiang, and Jianwei Yin, Placement is not Enough: Embedding with Proactive Stream Mapping on the Heterogenous Edge. In: arXiv preprints. [Code] (the revised version is Dependent Function Embedding)
• Hailiang Zhao, Shuiguang Deng*, Zijie Liu, Jianwei Yin, and Schahram Dustdar, Distributed Redundant Placement for Microservice-based Applications at the Edge. In: IEEE Trans. on Services Computing (TSC), vol. 15, no. 3, pp. 1732-1745, 1 May-June 2022, doi: 10.1109/TSC.2020.3013600. [ESI Highly Cited Paper]
• Shuiguang Deng, Guanjie Cheng, Hailiang Zhao, Honghao Gao, and Jianwei Yin, Incentive-driven Computation Offloading in Blockchain-enabled E-commerce. In: ACM Trans. on Internet Technology (TOIT), 21, 1, Article 9 (February 2021), 19 pages, doi: https://doi.org/10.1145/3397160.
• Shuiguang Deng, Hailiang Zhao, Weijia Fang*, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence. In: IEEE Internet of Things Journal (IOTJ), vol. 7, no. 8, pp. 7457-7469, Aug. 2020, doi: 10.1109/JIOT.2020.2984887. [ESI Highly Cited Paper] [ESI Hot Paper]
• Hailiang Zhao, Shuiguang Deng*, Cheng Zhang, Wei Du, Qiang He, and Jianwei Yin, A Mobility-aware Cross-edge Computation Offloading Framework for Partitionable Applications. In: Proceedings of the 17th IEEE International Conference on Web Services (ICWS '19), Milan, Italy, 2019. [Slide] [Theoretical Analysis] [Best Student Paper]
• Yishan Chen, Shuiguang Deng*, Hailiang Zhao, Qiang He, Yin Li, and Honghao Gao, Data-intensive Application Deployment at Edge: A Deep Reinforcement Learning Approach. In: Proceedings of the 17th IEEE International Conference on Web Services (ICWS '19), Milan, Italy, 2019. [Short Paper]
• Hailiang Zhao, Wei Du, Wei Liu, Tao Lei, and Qiwang Lei, QoE Aware and Cell Capacity Enhanced Computation Offloading for Multi-Server Mobile Edge Computing Systems with Energy Harvesting Devices. In: Proceedings of the 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC '18), Guangzhou, China, 2018. [Code]

Awards & Honors & Contests

• The CSC Scholarship, Aug 2022.
• The Outstanding Postgraduates Award of College of CS, Zhejiang University, 2020 & 2021.
• The Doctoral Freshman Scholarship of Zhejiang University, Sep 2019.
• The Best Student Paper Award of 2019 IEEE International Conference on Web Services, Jul 2019.
• The Outstanding Graduates Award of Wuhan University of Technology, Apr 2019.
• The Excellence Scholarship of Wuhan University of Technology (only 20 students per year), Nov 2018.

Professional Services

Reviewer for:

• IEEE Trans. on Services Computing
• IEEE Internet of Things Journal
• IEEE Trans. on Green Communication and Networking
• Mobile Networks & Applications
• IEEE Communications Letters
• Trans. on Emerging Telecommunications Technologies

Sub-reviewer for:

• ICSOC 2022
• SCC 2021
• ICSOC 2020
• ICWS 2020

Correspondence

Email: hliangzhao97 {AT} gmail {DOT} com

Laboratory Address: Cao Guangbiao Sci-tech Building, Yuquan Campus of Zhejiang University.
中国浙江省杭州市西湖区浙大路38号, 浙江大学玉泉校区 310027.