Liting Hu

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

Email: lhu@cs.fiu.edu
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

News

  • I am ecstatic 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!
  • My first PhD student Hailu Xu will join California State University Long Beach as a tenure-track assistant professor. Congratulations, Hailu!
  • A lead-PI grant is awarded from Cyber Florida Collaborative Seed Award Program to support my research on spam detection in online social networks ($75K).
  • I serve as the PC committee at HotEdge 2020. Please consider submitting your work.
  • December 2019: Our paper C15 got accepted by IPDPS 2020.
  • Congratulations to my student Hailu for winning the Best Student Paper Award at CLOUD 2019.
  • A lead-PI grant is awarded from NSF SPX to support my research on stateful stream processing ($550K). Thank you NSF!
  • A co-PI grant is awarded from LYRASIS to support my research on AI ($25K).
  • I serve as the PC committee at USENIX ATC 2019. Please consider submitting your work.
  • I serve as the PC committee at IPDPS 2019. Please consider submitting your work.
  • May 2019: Our paper C13 got accepted by CLOUD 2019.
  • 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.
  • 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 computer 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

    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, and systems virtualization. For instance, stateful streaming applications (with Spark Streaming, Storm, Flink), optimizing containerized application’s performance (with Docker and Kubernetes), Cloud scale resource management.

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

  • Stream Processing Systems: Oases, GOVERNOR, ELF, FastMR, Project Hoover
  • Cloud and Edge 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

  • Awards

    June 2020NSF CAREER Award ($490K, sole-PI)
    April 2020Cyber Florida Collaborative Seed Award ($75K, lead-PI)
    Fall 2019NSF SPX Award ($550K, lead-PI) [Link]

    Publications

    Students advised by me are identified by "*"

    1. Main Conferences

    [C16] 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”,
    2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS' 20), October 2020.

    [C15] Pinchao Liu*, Hailu Xu*, Dilma Da Silva, Qingyang Wang, Sarker Tanzir Ahmed, Liting Hu, “FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications”,
    Proceedings of the 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS' 20), May 2020.

    [C14] Boyuan Guan*, Pinchao Liu*, Hailu Xu*, Jennifer Fu, Qingyang Wang, Liting Hu, “dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems”,
    Proceedings of the 2019 International Congress on Big Data (Big Data Congress' 19), July 2019.

    [C13] Hailu Xu*, Pinchao Liu*, Boyuan Guan*, Liting Hu, “Exploiting the Spam Correlations in Scalable Online Social Spam Detection”,
    Proceedings of the 2019 International Conference on Cloud Computing (CLOUD' 19), June 2019. Best Student Paper Award

    [C12] Pinchao Liu*, Adnan Maruf, Farzana Beente Yusuf, Labiba Jahan, Hailu Xu*, Boyuan Guan*, Sitharama S. Iyengar, Liting Hu, “Towards Adaptive Replication for Hot/Cold Blocks in HDFS using MemCached”,
    Proceedings of 2019 International Conference on Data Intelligence and Security (ICDIS' 19), June 2019.

    [C11] 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”,
    Proceedings of the 11th International Conference on Cloud Computing (CLOUD' 18), July 2018.

    [C10] 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”,
    Proceedings of the 11th International Conference on Cloud Computing (CLOUD' 18), July 2018.

    [C9] Xin Chen, Ymir Vigfusson, Douglas M. Blough, Fang Zheng, Kun-Lung Wu, Liting Hu, “GOVERNOR: Smoother Stream Processing Through Smarter Backpressure”,
    Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC' 17), July 2017.

    [C8] 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 ”,
    Proceedings of the 10th IEEE International Conference on Cloud Computing (CLOUD' 17), June 2017.

    [C7] Xin Chen, Liting Hu, Douglas M. Blough, Michael A. Kozuch, Matthew Wolf, “RBAY: A Scalable and Extensible Information Plane for Federating Distributed Datacenter Resources”,
    Proceedings of the 37nd IEEE International Conference on Distributed Computing Systems (ICDCS' 17), June 2017.

    [C6] Liting Hu, Karsten Schwan, Hrishikesh Amur, Xin Chen, “ELF: Efficient Lightweight Fast Stream Processing at Scale”,
    Proceedings of the 2014 USENIX Annual Technical Conference (USENIX ATC' 14), June 2014.

    [C5] Liting Hu, Karsten Schwan, Ajay Gulati, Junjie Zhang, Chengwei Wang, “Net-Cohort: Detecting and Managing VM Ensembles in Data Center Systems”,
    Proceedings of the 9th ACM International Conference on Autonomic Computing (ICAC' 12), September 2012.

    [C4] Liting Hu, Kyung Dong Ryu, Dilma Da Silva, Karsten Schwan, “v-Bundle: Flexible Group Resource Offerings in Clouds”,
    Proceedings of the 32nd IEEE International Conference on Distributed Computing Systems (ICDCS' 12), June 2012.

    [C3] 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”,
    Proceedings of the 8th ACM International Conference on Autonomic Computing (ICAC' 11), June 2011.

    [C2] Haikun Liu, Hai Jin, Xiaofei Liao, Liting Hu, Chen Yu, “Live Migration of Virtual Machine Based on Execution Trace and Deterministic Replay”,
    Proceedings of the 18th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC' 09), June 2009.

    [C1] Liting Hu, Hai Jin, Xiaofei Liao, Xianjie Xiong, Haikun Liu, “Magnet: A Novel Scheduling Policy for Power Reduction in Cluster with Virtual Machines”,
    Proceedings of the 2008 IEEE International Conference on Cluster Computing (Cluster' 08), September 2008.

    2. Journal Articles

    [J7] Hailu Xu*, Pinchao Liu*, Boyuan Guan*, Rebecca Dupuis*, Qingyang Wang, Dilma Da Silva, Liting Hu, “Spiral: Harnessing Spam Correlations for Online and Scalable Spam Detection”,
    IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS). (To be submitted)

    [J6] Shungeng Zhang, Qingyang Wang, Yasuhiko Kanemasa, Huasong Shan, Liting Hu, “The Impact of Event Processing Flow on Asynchronous Server Efficiency”,
    IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS).

    [J5] Yuzhe Tang, Kai Li, Katchaguy Areekijseree, Shuigeng Zhou, Liting Hu, “Privacy-Preserving Multi-Party Directory Services”,
    EAI Endorsed Transactions on Security and Safety, DOI:10.4108/eai.29-7-2019.159627, January 2019.

    [J4] Qingyang Wang, Hui Chen, Shungeng Zhang, Liting Hu, Balaji Palanisamy, “Integrating Concurrency Control in n-Tier Application Scaling Management in the Cloud”,
    IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), vol. 30, no. 4, pp. 855-869, April 2019.

    [J3] 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”,
    ACM SIGOPS Operating Systems Review, Volume 47 Issue 3, December 2013, Pages 50-62.

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

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

    3. Workshops

    [W5] Hailu Xu*, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao, “Machine Learning Guided Optimal Use of GPU Unified Memory”,
    Proceedings of the Workshop on Memory Centric High Performance Computing, in conjunction with SC 19 (MCHPC' 19), November 2019.

    [W4] Hailu Xu*, Boyuan Guan*, Pinchao Liu*, William Escudero*, Liting Hu, “Harnessing the Nature of Spam in Scalable Online Social Spam Detection”,
    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, Karsten Schwan, “Project Hoover: Auto-Scaling Streaming Map-Reduce Applications”,
    Proceedings of the 2nd Workshop on Management of Big Data Systems, in conjunction with ACM ICAC’12 (MBDS' 12), September 2012.

    [W2] Renuka Apte, Liting Hu, Arpan Ghosh, Karsten Schwan, “Look Who’s Talking: Discovering Dependencies between Virtual Machines Using CPU Utilization”,
    Proceedings of the 2nd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud' 10), June 2010.

    [W1] Xiaofei Liao, Xianjie Xiong, Hai Jin, Liting Hu, “LVD: A Lightweight Virtual Desktop Management Architecture”,
    Systems and Virtualization Management. Standards and New Technologies: Second International Workshop (SVM' 08), Springer, October 2008.

    4. Posters

    [P2] Xin Chen, Ymir Vigfusson, Douglas M. Blough, Fang Zheng, Kun-Lung Wu, Liting Hu, “Smoother Stream Processing Through Smarter Back Pressure”,
    Poster in Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI' 16), November 2016.

    [P1] Liting Hu, Karsten Schwan, Hrishikesh Amur, “FastMR: fast processing for large distributed data streams”,
    Poster in Proceedings Of the 4th Annual Symposium on Cloud Computing (SOCC' 13), October 2013.


    Professional Activities

    Program Committees

    2020  HotEdge
    2019  USENIX ATC, IEEE IPDPS, IEEE BigData, IEEE SmartData
    2018  ICDCS, IEEE BigData
    2017  ICDCS, IEEE Cloud, ICA3PP, DSS
    2016  PIC

    School Coordinator

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

    Research Group

    Ph.D. Students

    Hailu Xu (will join California State University Long Beach as a tenure-track assistant professor)
    Pinchao Liu
    Boyuan Guan
    Huifeng Zhang (joint training PhD student)

    Teaching

    Fall 2020COP 5614 Operating Systems
    Spring 2020COP 4610 Operating Systems Principles
    Spring 2019COP 4610 Operating Systems Principles
    Fall 2018COP 5614 Operating Systems
    Spring 2018COP 4610 Operating Systems Principles
    Fall 2017COP 5614 Operating Systems
    Fall 2016COP 5614 Operating Systems

    Last updated April 22, 2020.