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 385
Miami, FL 33199

Full CV Google Scholar DBLP


  • 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 and big data analysis.

  • 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 system research, specifically addressing high performance and enterprise applications on virtualized and distributed platforms [C1, C2, J1, J2]; focusing on big data analytics systems [C6, C8, C9], specific research interests include methods for online resource management [C4, C5], runtime adaptation [C7], and system support solving architectural and algorithmic problems that arise in this setting [C3, J3].

    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: GOVERNOR, ELF, FastMR, Project Hoover
  • Datacenters and Cloud Computing: RBay, v-Bundle
  • System Virtualization and Distributed Systems: Net-Cohort, Look Who's Talking

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

  • All Citable Works

    1. Main Conferences

    [C9] Xin Chen, Ymir Vigfusson, Douglas M. Blough, Fang Zheng, Kun-Lung Wu, & Liting Hu (2017) 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, & Diana Leante Bone (2017) 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), June 2017.

    [C7] Xin Chen, Liting Hu, Douglas M. Blough, Michael A. Kozuch, & Matthew Wolf (2017) 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, & Xin Chen (2014) 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, & Chengwei Wang (2012) 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, & Karsten Schwan (2012) 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, & Matthew Wolf (2011) 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, & Chen Yu (2009) 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, & Haikun Liu (2008) 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.

    2. Journal Articles

    [J3] Chengwei Wang, Soila P. Kavulya, Jiaqi Tan, Liting Hu, Mahendra Kutare, Mike Kasick, Karsten Schwan, Priya Narasimhan, & Rajeev Gandhi (2013) 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, & Hai Jin (2010) 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, & Haikun Liu (2010) Towards Virtualized Desktop Environment. In Journal of IEEE Concurrency and Computation: Practice and Experience, Volumn 22 Issue 4, March 2010, Pages 419-440.

    3. Workshops

    [W3] Rajalakshmi Ramesh, Liting Hu, & Karsten Schwan (2012) 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, & Karsten Schwan (2010) 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, & Liting Hu (2008) LVD: A Lightweight Virtual Desktop Management Architecture. In Systems and Virtualization Management. Standards and New Technologies: Second International Workshop (SVM), October 2008.

    4. Posters

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

    [P1] Liting Hu, Karsten Schwan, & Hrishikesh Amur (2013) 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

  • 2017:  ICDCS, CLOUD, ICA3PP
  • 2016:  PIC

  • Research Group

    Current graduate students

  • Hailu Xu
  • Rajender Kumar

  • Teaching

    Fall 2016:COP 5614: Operating Systems
    Fall 2017:COP 5614: Operating Systems

    The webpage template is from Dr.Mark Finlayon. Last updated May 16, 2017.