Zhiyuan Yao

Zhiyuan Yao : PhD Student

Zhiyuan Yao

PhD Student

After his studies on Aircraft Design and Engineering at Harbin Institute of Technology, Zhiyuan Yao completed his MSc&T in Internet of Things at École Polytechnique, where he focused on computer networking and distributed systems. His Master’s research focused on applying machine learning techniques and distributed algorithms to resource allocation optimisation in data centre networks.

Zhiyuan is now undertaking an industrial PhD under the joint supervision of Mark Townsley (Cisco) and Thomas Clausen (École polytechnique)

Zhiyuan.Yao@polytechnique.edu


Latest Posts Mentioning Zhiyuan

Paper: CIKM’22 – Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center

Intro Glad to announce that, together with my friend at Princeton University, I have pushed a paper on multi-agent reinforcement learning algorithms for load balancing problems to CIKM. Extending based on the paper “Reinforced Workload Distribution Fairness” which we have…
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Paper: Aquarius – Enable Fast, Scalable, Data-Driven Service Management in the Cloud

Intro   Extending based on the paper Efficient Data-Driven Network Functions which I will physically present in the 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems in Nice, France, we have developed a platform…
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Paper: HLB – Towards Load-Aware Load Balancing

Intro I have been working for a couple of years on the subject of making load balancers in data center networks more “intelligent”–in the sense of making appropriate task allocation according to both the dynamic server load states and the…
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Posted in Chaire Cisco, IEEE, LoadBalancing, Zhiyuan Yao | Tagged , , , , , , | Leave a comment

Zhiyuan’s Publications

2022

Yao, Zhiyuan; Desmouceaux, Yoann; Cordero, Juan Antonio; Townsley, Mark; Clausen, Thomas Heide

Aquarius-Enable Fast, Scalable, Data-Driven Service Management in the Cloud Journal Article Forthcoming

In: IEEE Transactions on Network and Service Management, Forthcoming, ISSN: 1932-4537.

Abstract | Links | BibTeX

Yao, Zhiyuan; Ding, Zihan

Learning Distributed and Fair Policies for Network Load Balancing as Markov Potentia Game Inproceedings Forthcoming

In: 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Forthcoming.

Abstract | Links | BibTeX

Yao, Zhiyuan; Desmouceaux, Yoann; Cordero, Juan Antonio; Townsley, Mark; Clausen, Thomas Heide

Efficient Data-Driven Network Functions Inproceedings Forthcoming

In: 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2022), Forthcoming.

Abstract | Links | BibTeX

Yao, Zhiyuan; Ding, Zihan; Clausen, Thomas Heide

Multi-agent reinforcement learning for network load balancing in data center Inproceedings Forthcoming

In: 31st ACM International Conference on Information and Knowledge Management (CIKM'22), Forthcoming.

Abstract | Links | BibTeX

Yao, Zhiyuan; Desmouceaux, Yoann; Cordero, Juan Antonio; Clausen, Thomas Heide

HLB: Towards Load-Aware Load-Balancing Journal Article Forthcoming

In: IEEE/ACM Transactions on Networking, Forthcoming, ISSN: 1558-2566.

Abstract | Links | BibTeX

2021

Yao, Zhiyuan; Ding, Zihan; Clausen, Thomas Heide

Reinforced Workload Distribution Fairness Inproceedings Forthcoming

In: Machine Learning for Systems at 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Forthcoming.

Abstract | Links | BibTeX

Yao, Zhiyuan; Desmouceaux, Yoann; Townsley, Mark; Clausen, Thomas Heide

Towards Intelligent Load Balancing in Data Centers Inproceedings Forthcoming

In: Machine Learning for Systems at 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Sydney, Australia, Forthcoming.

Abstract | Links | BibTeX

Rizzi, Carmine; Yao, Zhiyuan; Desmouceaux, Yoann; Townsley, Mark; Clausen, Thomas Heide

Charon: Load-Aware Load-Balancing in P4 Inproceedings

In: 1st Joint International Workshop on Network Programmability & Automation (NetPA) at 17th International Conference on Network and Service Management (CNSM 2021),, 2021.

Abstract | Links | BibTeX