vt logo

Liting Hu

I am an Assistant Professor in the Department of Computer Science at Virginia Tech.

Email: litinghu at cs.vt.edu
Mail: 1125 Knowledge Works II
2202 Kraft Dr SW
Blacksburg, VA 24060

Full CV Google Scholar DBLP

I have multiple openings for Ph.D. students (starting in Fall 2022/Spring 2023). If you are interesting in building systems, please feel free to contact me!


News

  • December 2021: I am grateful to receive the Meta (Facebook) Faculty Research Award as the sole-PI.
  • December 2021: I serve as the PC committee at VEE 2022 and ICS 2022. Please consider submitting your work.
  • October 2021: Welcome Sha Li, Taehwan Kim, Manoj Prabhakar Paidiparthy to join our lab.
  • April 2021: Our work on edge stream processing systems got accepted to USENIX ATC 2021!
  • April 2021: My second Ph.D. student Pinchao Liu graduates and joins Facebook as a research scientist. Congratulations, Pinchao!
  • December 2020: I am grateful to receive the FIU Faculty Award for Excellence in Fundamental Research.
  • November 2020: I serve as the Program Vice Co-Chair for the Distributed Operating Systems and Middleware track in ICDCS 2021. Please consider submitting your work.
  • September 2020: Our work on failure recovery mechanism for stream processing systems got accepted to ACM/IFIP Middleware 2020.
  • August 2020: My research on stream processing systems is featured on FIU News.
  • June 2020: I am excited to announce that I received the NSF CAREER Award from the Computer Systems Research program in the Division of Computer and Network Systems! Thanks for NSF’s tremendous support!
  • April 2020: My first Ph.D. student Hailu Xu graduates and joins California State University Long Beach as a tenure-track assistant professor. Congratulations, Hailu!
  • February 2020: I am grateful to receive the Cyber Florida Collaborative Seed Award as the lead-PI.
  • February 2020: I serve as the PC committee at HotEdge 2020. Please consider submitting your work.
  • December 2019: Our work on stateful stream processing systems got accepted to IPDPS 2020.
  • July 2019: A lead-PI grant is awarded from NSF SPX to support my research on stateful stream processing ($550K). Thank you NSF!
  • June 2019: A co-PI grant is awarded from LYRASIS to support my research on AI ($25K).
  • May 2019: Our work on spam detection systems received the Best Student Paper Award at Cloud 2019. Congratulations, Hailu!
  • January 2019: I serve as the PC committee at USENIX ATC 2019. Please consider submitting your work.
  • October 2018: I serve as the PC committee at IPDPS 2019. Please consider submitting your work.
  • April 2018: We have two research papers accepted to Cloud 2018. Congratulations, Hailu and Pinchao!
  • August 2017: A co-PI grant is awarded from DHS ($1200K).


  • Brief Bio

    Dr. Liting Hu is currently an Assistant Professor of Computer Science at Virginia Tech. She received her Ph.D. degree in Computer Science from Georgia Institute of Technology in 2016, advised by Professor Karsten Schwan; and her bachelor degree in Computer Science from Huazhong University of Science and Technology in 2007. Prior to joining VT, she was an Assistant Professor of Computer Science at FIU from 2017 to 2021.

    During her Ph.D. study, Liting has been fortunate to intern at different research labs and learn from many remarkable researchers. She spent the summer of 2015 at IBM T.J. Watson Research Center working with Shu Tao, Hui Kang and Michael V. Le. She spent the summer of 2013 at Intel Science & Technology Center for Cloud Computing, Carnegie Mellon University working with Michael Kozuch. She spent the summer of 2012 at IBM T.J. Watson Research Center working with Dilma Da Silva and Kyung Ryu. She spent the fall of 2011 at Microsoft Research Asia working with Zhenyu Guo. She spent the summer of 2010 at VMware working with Ajay Gulati.

    Liting’s research interests are in experimental computer systems, including stream processing systems, cloud and edge computing, distributed systems, operating system virtualization. Her latest interests focus on building next-generation large-scale stream processing systems for the cloud and edge. Her work has appeared in top systems venues like USENIX ATC, Middleware, IPDPS, ICDCS, HPDC, ICAC, TPDS, SIGOPS. Her research is gratefully supported by NSF, Department of Homeland Security, as well as a few more industry and university grants. She has received many research awards and scholarships, including an NSF CAREER Award, an NSF SPX Award, a Meta (Facebook) Faculty Research Award, and a Cyber Florida Seed Award.


    Research Interests

    I lead the Experimental and Virtualized Systems (ELVES) Research Lab, which conducts Experimental Computer Systems research in the areas of Stream Processing Systems , Cloud and Edge Computing , Distributed Systems , and Operating System Virtualization . Examples include stream processing systems (with Spark Streaming, Storm, Flink), identifying threats (e.g., fake news, rumors, social bots) in online social networks, developing machine learning techniques for systems, container as a service (with Docker and Kubernetes), and resource management in large-scale data centers (with Xen and KVM).

    See some of my recent projects for more details about my background and expertise:

  • Stream Processing Systems: DART, SR3, FP4S, Governor, ELF, Project Hoover
  • Spam Detection in Online Social Networks: SpamHunter, Oases
  • Developing Machine Learning Techniques for Systems: Max Orientation Coverage, dpSmart, XPlacer
  • Operating System Virtualization: Docman, Net-Cohort, Look Who’s Talking, Live Migration of VMs
  • Resource Management in Large-Scale Data Centers: RBay, v-Bundle, Monalytics, Magnet



  • Publications

    Students advised by me are identified by "*"

    1. Conference Papers

    [USENIX ATC'21] Pinchao Liu*, Dilma Da Silva, Liting Hu, “DART: A Scalable and Adaptive Edge Stream Processing Engine”, in Proceedings of the 2021 USENIX Annual Technical Conference (USENIX ATC'21), virtual event, July 2021. Acceptance Rate: 64/341 = 18.8%.

    [IROS'20] Xin Chen, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc, Liting Hu, “Max Orientation Coverage: Efficient Path Planning to Avoid Collisions in the CNC Milling of 3D Objects”, in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'20), virtual event, January 2021.

    [Middleware'20] Hailu Xu*, Pinchao Liu*, Susana Cruz-Diaz*, Dilma Da Silva, Liting Hu, “SR3: Customizable Recovery for Stateful Stream Processing Systems”, in Proceedings of ACM/IFIP Middleware 2020 (Middleware'20), virtual event, December 2020.

    [IPDPS'20] Pinchao Liu*, Hailu Xu*, Dilma Da Silva, Qingyang Wang, Sarker Tanzir Ahmed, Liting Hu, “FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications”, in Proceedings of the 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS'20), virtual event, May 2020.

    [Big Data Congress'19] Boyuan Guan*, Pinchao Liu*, Hailu Xu*, Jennifer Fu, Qingyang Wang, Liting Hu, “dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems”, in Proceedings of the 2019 International Congress on Big Data (Big Data Congress'19) , Milan, Italy, July 2019.

    [Cloud'19] Hailu Xu*, Pinchao Liu*, Boyuan Guan*, Liting Hu, “Exploiting the Spam Correlations in Scalable Online Social Spam Detection”, in Proceedings of the 2019 International Conference on Cloud Computing (Cloud'19), San Diego, CA, June 2019. Best Student Paper Award

    [Cloud'18] Pinchao Liu*, Hailu Xu*, Zhiyuan Shi*, Jason Liu, Qingyang Wang, Jai Dayal, Yuzhe Tang, Liting Hu, “A Toolset for Detecting Containerized Application's Dependencies in CaaS Clouds”, in Proceedings of the 11th International Conference on Cloud Computing (Cloud'18), San Francisco, CA, July 2018.

    [Cloud'18] Hailu Xu*, Pinchao Liu*, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang, Yuzhe Tang, Liting Hu, “Oases: An Online Scalable Spam Detection System for Social Networks”, in Proceedings of the 11th International Conference on Cloud Computing (Cloud'18), San Francisco, CA, July 2018.

    [ICAC'17] Xin Chen, Ymir Vigfusson, Douglas M. Blough, Fang Zheng, Kun-Lung Wu, Liting Hu, “GOVERNOR: Smoother Stream Processing Through Smarter Backpressure”, in Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC'17), Columbus, Ohio, July 2017.

    [Cloud'17] Xin Chen*, Liangqi Liu*, Jing Chang*, Diana Leante Bone*, Liting Hu, “Breaking Down Hadoop Distributed File Systems Data Analytics Tools: Apache Hive vs. Apache Pig vs. Pivotal HWAQ”, in Proceedings of the 10th IEEE International Conference on Cloud Computing (Cloud'17), Honolulu, Hawaii, June 2017.

    [ICDCS'17] Xin Chen*, Liting Hu, Douglas M. Blough, Michael A. Kozuch, Matthew Wolf, “RBAY: A Scalable and Extensible Information Plane for Federating Distributed Datacenter Resources”, in Proceedings of the 37nd IEEE International Conference on Distributed Computing Systems (ICDCS'17), Atlanta, GA, June 2017.

    [USENIX ATC'14] Liting Hu, Karsten Schwan, Hrishikesh Amur, Xin Chen, “ELF: Efficient Lightweight Fast Stream Processing at Scale”, in Proceedings of the 2014 USENIX Annual Technical Conference (USENIX ATC'14), Philadelphia, PA, June 2014. Acceptance rate: 36/241=14.9%.

    [ICAC'12] Liting Hu, Karsten Schwan, Ajay Gulati, Junjie Zhang, Chengwei Wang, “Net-Cohort: Detecting and Managing VM Ensembles in Data Center Systems”, in Proceedings of the 9th ACM International Conference on Autonomic Computing (ICAC'12), New York, NY, September 2012.

    [ICDCS'12] Liting Hu, Kyung Dong Ryu, Dilma Da Silva, Karsten Schwan, “v-Bundle: Flexible Group Resource Offerings in Clouds”, in Proceedings of the 32nd IEEE International Conference on Distributed Computing Systems (ICDCS'12), Macau, China, June 2012.

    [ICAC'11] Chengwei Wang, Karsten Schwan, Vanish Talwar, Greg Eisenhauer, Liting Hu, Matthew Wolf, “A Flexible Architecture Integrating Monitoring and Analytics for Managing Large-Scale Data Centers”, in Proceedings of the 8th ACM International Conference on Autonomic Computing (ICAC'11), Karlsruhe, Germany, June 2011.

    [HPDC'09] Haikun Liu, Hai Jin, Xiaofei Liao, Liting Hu, Chen Yu, “Live Migration of Virtual Machine Based on Execution Trace and Deterministic Replay”, in Proceedings of the 18th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'09), Munich, Germany, June 2009.

    [Cluster'08] Liting Hu, Hai Jin, Xiaofei Liao, Xianjie Xiong, Haikun Liu, “Magnet: A Novel Scheduling Policy for Power Reduction in Cluster with Virtual Machines”, in Proceedings of the 2008 IEEE International Conference on Cluster Computing (Cluster'08), Tsukuba, Japan, September 2008.

    2. Journal Articles

    [TPDS] Shungeng Zhang, Qingyang Wang, Yasuhiko Kanemasa, Huasong Shan, Liting Hu, “The Impact of Event Processing Flow on Asynchronous Server Efficiency”, in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), March 2020.

    [ETSS] Yuzhe Tang, Kai Li, Katchaguy Areekijseree, Shuigeng Zhou, Liting Hu, “Privacy-Preserving Multi-Party Directory Services”, in EAI Endorsed Transactions on Security and Safety, January 2019.

    [TPDS] Qingyang Wang, Hui Chen, Shungeng Zhang, Liting Hu, Balaji Palanisamy, “Integrating Concurrency Control in n-Tier Application Scaling Management in the Cloud”, in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), vol. 30, no. 4, pp. 855-869, April 2019.

    [SIGOPS] Chengwei Wang, Soila P. Kavulya, Jiaqi Tan, Liting Hu, Mahendra Kutare, Mike Kasick, Karsten Schwan, Priya Narasimhan, Rajeev Gandhi, “Performance Troubleshooting in Data Centers: An Annotated Bibliography”, in ACM SIGOPS Operating Systems Review, Volume 47 Issue 3, December 2013, Pages 50-62.

    [Cluster Computing] Xiaofei Liao, Liting Hu, Hai Jin, “Energy Optimization Schemes in Cluster with Virtual Machines”, in Cluster Computing, Volume 13 Issue 2, June 2010, Pages 113-126.

    [Concurrency&Computation] Xiaofei Liao, Hai Jin, Liting Hu, Haikun Liu, “Towards Virtualized Desktop Environment”, in IEEE Concurrency and Computation: Practice and Experience, Volumn 22 Issue 4, March 2010, Pages 419-440.

    3. Workshop Papers

    [MCHPC'19] Hailu Xu*, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao, “Machine Learning Guided Optimal Use of GPU Unified Memory”, in Proceedings of the Workshop on Memory Centric High Performance Computing, in conjunction with SC 19 (MCHPC'19), Denver, CO, November 2019.

    [BSMDMA'18] Hailu Xu*, Boyuan Guan*, Pinchao Liu*, William Escudero*, Liting Hu, “Harnessing the Nature of Spam in Scalable Online Social Spam Detection”, in the 2018 International Workshop on Big Social Media Data Management and Analysis, in conjunction with IEEE Big Data (BSMDMA'18), Seattle, WA, December 2018.

    [MBDS'12] Rajalakshmi Ramesh, Liting Hu, Karsten Schwan, “Project Hoover: Auto-Scaling Streaming Map-Reduce Applications”, in Proceedings of the 2nd Workshop on Management of Big Data Systems, in conjunction with ACM ICAC’12 (MBDS'12), New York, NY, September 2012.

    [HotCloud'10] Renuka Apte, Liting Hu, Arpan Ghosh, Karsten Schwan, “Look Who’s Talking: Discovering Dependencies between Virtual Machines Using CPU Utilization”, in Proceedings of the 2nd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud'10), Boston, MA, June 2010.

    [SVM'08] Xiaofei Liao, Xianjie Xiong, Hai Jin, Liting Hu, “LVD: A Lightweight Virtual Desktop Management Architecture”, in International Workshop on Systems and Virtualization Management (SVM'08), Springer, Munich, Germany, October 2008.


    Research Group

    Ph.D. Students (Primary Advisor)

    Sha Li (starting in Spring 2022 - present)
    Pinchao Liu (Ph.D. 2021) Now Research Scientist at Meta (Facebook)
    Hailu Xu (Ph.D. 2020) Now tenure-track Assistant Professor of Computer Science at California State University, Long Beach


    Master Students (Primary Advisor)

    Taehwan Kim (starting in Fall 2021 - present)
    Manoj Prabhakar Paidiparthy (starting in Fall 2021 - present)


    Undergraduates (Primary Advisor)

    Ulises Fernandez (B.S. 2021) Now Software Engineer at Deloitte
    Rebecca Dupuis (B.S. 2021) Now Software Engineer at Microsoft
    Susana Cruz Diaz (B.S. 2020) Now Software Engineer Associate at Lockheed Martin
    William Escudero (B.S. 2019) Now Software Engineer at JPMorgan Chase & Co


    Teaching

    Fall 2020 COP 5614 Operating Systems
    Spring 2020 COP 4610 Operating Systems Principles
    Spring 2019 COP 4610 Operating Systems Principles
    Fall 2018 COP 5614 Operating Systems
    Spring 2018 COP 4610 Operating Systems Principles
    Fall 2017 COP 5614 Operating Systems


    Awards

    2021 Meta (Facebook) Faculty Research Award
    2020 NSF CAREER Award (from the CSR program in the Division of CNS)
    2020 Cyber Florida Collaborative Seed Award
    2019 NSF SPX Award (from the SPX program in the Division of CCF)


    Professional Services

    Journal Editorship

  • Editorial Board Member, Future Generation Computer Systems (FGCS), started in 2021


  • Organizing Committee

  • Program Vice Co-Chair (distributed operating systems and middleware track), the 41st IEEE International Conference on Distributed Computing Systems (ICDCS), 2021


  • Program Committees

  • The 36th ACM International Conference on Supercomputing (ICS), 2022
  • ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE), 2022
  • USENIX Workshop on Hot Topics in Edge Computing (HotEdge), 2020
  • USENIX Annual Technical Conference (USENIX ATC), 2019
  • IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2019
  • IEEE International Congress on Big Data (BigData Congress), 2018, 2019
  • International Conference on Data Science and Systems (DSS), 2017, 2018, 2020
  • International Conference on Distributed Computing Systems (ICDCS), 2017, 2018, 2020, 2021, 2022
  • International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2017
  • International Conference on Cloud Computing (Cloud), 2017


  • Journal Review

  • IEEE Transactions on Cloud Computing, 2020
  • IEEE Transactions on Dependable and Secure Computing, 2020
  • IEEE Transactions on Parallel and Distributed Systems, 2020
  • ACM Transactions on Internet Technology, 2020
  • IEEE Transactions on Services Computing, 2019
  • IEEE Transactions on Cloud Computing, 2019
  • International Journal of Distributed Sensor Networks, 2018
  • IEEE Transactions on Services Computing, 2017
  • IEEE Intelligent Systems, 2016


  • Diversity Activities

  • Organizing Committee for Nelms Women in IoT (WiT) Workshop, 2020


  • School Coordinator

  • Graduate Student Seminar Series, 2020
  • Graduate Student Seminar Series, 2019
  • Graduate Student Seminar Series, 2018
  • Graduate Student Seminar Series, 2017

  • Last Updated May 1, 2021