Liting Hu

I am an Assistant Professor at FIU’s School of Computing and Information Sciences.

Phone: +1 (305) 348-2032
Fax: +1 (305) 348-3549
Mail: 11200 S.W. 8th Street
ECS Building Room 360
Miami, FL 33199

Full CV Google Scholar DBLP


  • I will serve as the PC committee at USENIX ATC 2019. Please consider submitting your work.
  • September 2018: Our journal paper J4 got accepted by IEEE TPDS 2019.
  • April 2018: Our paper C11 got accepted by IEEE Cloud 2018.
  • April 2018: Our paper C10 got accepted by IEEE Cloud 2018.
  • April 2017: Our paper C9 got accepted by IEEE ICAC 2017.
  • April 2017: Our short paper C8 got accepted by IEEE Cloud 2017.
  • March 2017: Our paper C7 got accepted by IEEE ICDCS 2017.
  • I join the school of Computing and Information Sciences at Florida International University as an Assistant Professor on Fall 2016. I am looking for passionate students who are interested in systems research.

  • Brief Bio

    I received my Ph.D. in Computer Science from Georgia Tech in 2016 under the supervision of Professor Karsten Schwan. Before that, I received my B.S. in Computer Science from Huazhong University of Science and Technology in 2007.

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

    Research Interests (Group’s Homepage)

    I conduct systems research, specifically addressing high performance and enterprise applications on virtualized and distributed platforms; focusing on big data analytics systems, specific research interests include runtime adaptation [C7], methods for online resource management [C4, C5], and system support solving enterprise motivated real-world problems that embody complicated data analytics [C6, C8, C9, C10, C3, J3]; focusing on systems virtualization, research interests range from basic technologies [C2, J1] to innovative technology application [C1, J2, C11].

    My research focused on three topics: big data systems, datacenters and cloud computing, system virtualization and distributed systems. Some of my current projects include:

  • Big Data Systems: Oases, GOVERNOR, ELF, FastMR, Project Hoover
  • Datacenters and Cloud Computing: RBay, v-Bundle
  • Systems Virtualization and Distributed Systems: Docman, Net-Cohort, Look Who’s Talking

    Other projects on: Performance Troubleshooting in Datacenters, Live Migration of VMs, Magnet, LVD

  • All Citable Works

    1. Journal Articles

    [J4] Qingyang Wang, Hui Chen, Shungeng Zhang, Liting Hu, and Balaji Palanisamy, “Integrating Concurrency Control in n-Tier Application Scaling Management in the Cloud”, to appear in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2019

    [J3] Chengwei Wang, Soila P. Kavulya, Jiaqi Tan, Liting Hu, Mahendra Kutare, Mike Kasick, Karsten Schwan, Priya Narasimhan, and 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.

    [J2] Xiaofei Liao, Liting Hu, and Hai Jin, “Energy optimization schemes in cluster with virtual machines”, In Journal of Cluster Computing, Volume 13 Issue 2, June 2010, Pages 113-126.

    [J1] Xiaofei Liao, Hai Jin, Liting Hu, and Haikun Liu, “Towards Virtualized Desktop Environment”, In Journal of IEEE Concurrency and Computation: Practice and Experience, Volumn 22 Issue 4, March 2010, Pages 419-440.

    2. Main Conferences

    [C11] Pinchao Liu, Liting Hu, Hailu Xu, Zhiyuan Shi, Jason Liu, Qingyang Wang, Jai Dayal, and Yuzhe Tang, “A Toolset for Detecting Containerized Application's Dependencies in CaaS Clouds”, In Proceedings of the 11th International Conference on Cloud Computing (IEEE Cloud), July 2018.

    [C10] Hailu Xu, Liting Hu, Pinchao Liu, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang, and Yuzhe Tang, “Oases: An Online Scalable Spam Detection System for Social Networks”, In Proceedings of the 11th International Conference on Cloud Computing (IEEE Cloud), July 2018.

    [C9] Xin Chen, Ymir Vigfusson, Douglas M. Blough, Fang Zheng, Kun-Lung Wu, and Liting Hu, “GOVERNOR: Smoother Stream Processing Through Smarter Backpressure”, In Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC), July 2017.

    [C8] Xin Chen, Liting Hu, Liangqi Liu, Jing Chang, and Diana Leante Bone, “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 (IEEE Cloud), June 2017.

    [C7] Xin Chen, Liting Hu, Douglas M. Blough, Michael A. Kozuch, and 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): Applications-Experiences Track, June 2017.

    [C6] Liting Hu, Karsten Schwan, Hrishikesh Amur, and Xin Chen, “ELF: Efficient Lightweight Fast Stream Processing at Scale”, In Proceedings of the 2014 USENIX Annual Technical Conference (USENIX ATC), June 2014.

    [C5] Liting Hu, Karsten Schwan, Ajay Gulati, Junjie Zhang, and 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), September 2012.

    [C4] Liting Hu, Kyung Dong Ryu, Dilma Da Silva, and Karsten Schwan, “v-Bundle: Flexible Group Resource Offerings in Clouds”, In Proceedings of the 32nd IEEE International Conference on Distributed Computing Systems (ICDCS), June 2012.

    [C3] Chengwei Wang, Karsten Schwan, Vanish Talwar, Greg Eisenhauer, Liting Hu, and 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), June 2011.

    [C2] Haikun Liu, Hai Jin, Xiaofei Liao, Liting Hu, and 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), June 2009.

    [C1] Liting Hu, Hai Jin, Xiaofei Liao, Xianjie Xiong, and 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), September 2008.

    3. Workshops

    [W4] Hailu Xu, Boyuan Guan, Pinchao Liu, William Escudero, and 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 , December 2018

    [W3] Rajalakshmi Ramesh, Liting Hu, and 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), September 2012.

    [W2] Renuka Apte, Liting Hu, Arpan Ghosh, and 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), June 2010.

    [W1] Xiaofei Liao, Xianjie Xiong, Hai Jin, and Liting Hu, “LVD: A Lightweight Virtual Desktop Management Architecture”, In Systems and Virtualization Management. Standards and New Technologies: Second International Workshop (SVM), Springer, October 2008.

    4. Posters

    [P2] Xin Chen, Ymir Vigfusson, Douglas M. Blough, Fang Zheng, Kun-Lung Wu, and Liting Hu, “Smoother Stream Processing Through Smarter Back Pressure”, Poster in Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI), November 2016.

    [P1] Liting Hu, Karsten Schwan, and Hrishikesh Amur, “FastMR: fast processing for large distributed data streams”, Poster in Proceedings Of the 4th Annual Symposium on Cloud Computing (SOCC), October 2013.

    Professional Activities

    Program Committees

  • 2018:  ICDCS, IEEE BigData
  • 2017:  ICDCS, IEEE Cloud, ICA3PP, DSS
  • 2016:  PIC

    School Coordinator

  • 2018:  Graduate Student Seminar Series
  • 2017:  Graduate Student Seminar Series

  • Research Group

    Ph.D. Students

  • Hailu Xu
  • Pinchao Liu
  • Boyuan Guan

  • Teaching

    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
    Fall 2016:COP 5614: Operating Systems

    The webpage template is from Dr.Mark Finlayon. Last updated July 23, 2018.