Lianjie Cao

Researcher@Hewlett Packard Labs.

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Office Address:

820 N McCarthy Blvd

Milpitas, CA 95035

Lianjie is a researcher at Network and Distributed Systems Labs (NDSL) of Hewlett Packard Labs. He received his Ph.D. degree from Computer Science department at Purdue University with Professor Sonia Fahmy.

His research interests mainly focus on resource allocation and performance optimization of computer networks, distributed systems, and storage systems. He has worked on network emulation, network functions virtualization (NFV), serverless computing, microservices, machine learning systems, and persistent memory.

Education

  • Purdue University, West Lafayette, IN, United States
    PhD in Computer Science
  • George Mason University, Fairfax, VA, United States
    M.S. in Computer Engineering
  • Huazhong University of Science and Technology, China
    B.E. in Control Science and Technology

Experience

  • 2018 - now
    Hewlett Packard Labs
    Researcher
  • 2014 - 2017
    Hewlett Packard Labs
    Research Intern

Professional Services

  • Technical Program Committee Member
    • 2023 IEEE/IFIP NOMS
    • 2022 PAM, IEEE/IFIP NOMS
    • 2021 IFIP/IEEE IM
    • 2020 IFIP Networking
    • 2019 IFIP Networking
  • Reviewer
    • IEEE TNSM, IEEE Sensors Journal, IEEE Networking Letters

Selected Publications

  1. NFV-VITAL: A Framework for Characterizing the Performance of Virtual Network Functions
    Lianjie Cao, Puneet Sharma, Sonia Fahmy, and 1 more author
    In Proceedings of IEEE Conference on Network Function Virtualization and Software Defined Network (NFV-SDN) 2015
  2. Data-driven Resource Flexing for Network Functions Virtualization
    Lianjie Cao, Sonia Fahmy, Puneet Sharma, and 1 more author
    In Proceedings of ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS) 2018
  3. Co-locating Containerized Workload Using Service Mesh Telemetry
    Lianjie Cao, and Puneet Sharma
    In Proceedings of ACM International Conference on Emerging Networking EXperiments and Technologies (CoNEXT) 2021
  4. SLA-Driven ML Inference Framework for Clouds with Heterogeneous Accelerators
    Junguk Cho, Diman Zad Tootaghaj, Lianjie Cao, and 1 more author
    In Proceedings of Machine Learning and Systems (MLSys) 2022