Mengying Zhou (周孟莹)
Mengying Zhou (周孟莹)

Ph.D. Candidate at Fudan University

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About Me

I am a Ph.D. candidate in the Big Data and Networking (DataNET) Group (opens new window) of the SONIC Laboratory, School of Computer Science at Fudan University, advised by Prof. Xin Wang (opens new window) and Prof. Yang Chen (opens new window). Now, I am the visiting student supervised by Prof. Aaron Ding (opens new window) at TU Delft in 2023!

My research interests include Machine Learning for Networking Systems (NetAI), Next-Generation Internet Architecture and Protocol, and Communication Energy. I graduated from Lanzhou University in 2019 with a B.S. in Computer Science.

News

  • 📌 [04/2023] One paper titled "SocialCache: A Pervasive Social-Aware Caching Strategy for Self-Operated Content Delivery Networks of Online Social Networks" got accepted in IEEE International Conference on Communications (ICC'23).
  • 📌 [09/2022] One paper titled "Artemis: A Latency-Oriented Naming and Routing System" got accepted in IEEE Transactions on Parallel and Distributed Systems (TPDS).
  • 📌 [08/2022] Our "Locating CDN Edge Servers with HTTP Responses" won the first place in the SIGCOMM 2022 Student Research Competition (opens new window)!
  • 📌 [06/2022] One paper titled "Locating CDN Edge Servers with HTTP Responses" got accepted in Proc. of the SIGCOMM '22 Posters and Demos.
  • 📌 [03/2022] One paper titled "FlexHTTP: An Intelligent and Scalable HTTP Version Selection System" got accepted in Proc. of the 2nd workshop on Machine Learning and Systems (EuroMLSys), co-located with EuroSys'22.

Education

  • Ph.D. Candidate, School of Computer Science, Fudan University. 2019.9 - Present

    Advisor: Prof. Xin Wang (opens new window), Prof. Yang Chen (opens new window)

  • Scholarship Visiting Student, Dept. of Engineering Systems and Services, TU Delft. 2022.11 - 2023.11

    Advisor: Prof. Aaron Ding (opens new window)

  • Baidu Intership2021.6 - 2021.9

    Research: Network load balancing research and development engineer

  • Bachelor's Degree (with honor), School of Information Science and Engineering, Lanzhou University. 2015.9 - 2019.6

    GPA:4.8/5.0 | Ranking: 1/190

Research Interests

  • Machine Learning for Networking Systems (NetAI)
  • Next-Generation Internet Architecture and Protocol
  • Communication Energy

Publications

  • FlexHTTP: An Intelligent and Scalable HTTP Version Selection System. Proc. of the 2nd workshop on Machine Learning and Systems (EuroMLSys), co-located with EuroSys'22.

    Mengying Zhou, Zheng Li, Shihan Lin, Xin Wang, and Yang Chen.

Our work find that under different network conditions and web page structures, neither HTTP/2 nor HTTP/3 can always perform better. Motivated by this finding, we propose FlexHTTP, an intelligent and scalable HTTP version selection system. The proof-of-concept evaluation demonstrates that FlexHTTP almost achieves an optimal HTTP version selection with a hit ratio of 0.97. When compared with the ideal results, FlexHTTP only displays a small gap with a value of 30ms median Speed Index.

[PDF] [Slide]

  • Polygon: A QUIC-Based CDN Server Selection System Supporting Multiple Resource Demands. Proc. of the 22nd ACM/IFIP Middleware Conference (Middleware’21), Industry Track, Virtual Event, Canada, Dec. 2021.

    Mengying Zhou, Tiancheng Guo, Yang Chen, Junjie Wan, and Xin Wang.

Our work find that requests in different application scenarios would have different resource type priorities. And motivated by this finding, we propose Polygon, a QUIC-based CDN server selection system supporting multiple resource demands. It shows a significant improvement in job completion time and resource utilization efficiency.

[PDF] [Slides] [Code (opens new window)]

Determining the physical locations of CDN Points of Presence (PoPs) is fundamental to understanding and diagnosing CDN services. Yet, the popular deployment of IP Anycast in CDNs has rendered existing geolocation tools unreliable. To fill this gap, we present an HTTP-based solution that leverages subtle geographic hints in HTTP responses to locate CDN PoPs at the city-level granularity. The evaluation shows that our technique achieves over 90% accuracy with an average error distance of less than 40 km.

[PDF] [Video (opens new window)] [Demo (opens new window)] [Code (opens new window)]

  • SocialCache: A Pervasive Social-Aware Caching Strategy for Self-Operated Content Delivery Networks of Online Social Networks. Tiancheng Guo, Yuke Ma, Mengying Zhou, Xin Wang, Jun Wu, Yang Chen. Proc. of 2023 IEEE International Conference on Communications (ICC’23), Rome, Italy, May 2023. [PDF] [Slides] [ProjectPage]

  • Artemis: A Latency-Oriented Naming and Routing System. Xuebing Li, Yang Chen, Mengying Zhou, Tiancheng Guo, Chenhao Wang, Yu Xiao, Junjie Wan, and Xin Wang. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022, 33(12):4874-4890. [PDF] [Code (opens new window)]

  • Deep Learning for POI Recommendation: A Survey. Jiaxin Tang, Yang Chen, Mengying Zhou, and Xin Wang. Computer Engineering, 2021, 1000-3428.0061598. [PDF]

  • Internet Data Transfer Protocol QUIC: A Survey. Xuebing Li, Yang Chen, Mengying Zhou, and Xin Wang. Journal of Computer Research and Development, 2020, 57(9):1864-1876. [PDF] [Slides]

Services

  • Program Committee of
    • China National Conference on Big Data & Social Computing: 2023
  • Technical Program Committee (TPC) Member of
    • ACM Internet Measurement Conference: 2022(Shadow)
    • EuroMLSys: 2023

Awards & Honors