Research

My research interests include Computer Networks, Cloud Computing, Big Data Systems, Distributed Systems and Internet of Things. My current research focuses on analytical frameworks for big-data analytics.

  • Computer Networks
  • Cloud Computing
  • Big Data Systems
  • Resource Management
  • Distributed Systems
  • Internet of Things

Publications

Journals:

  • [4] Z. Li, H. Chandler and H. Shen, Analysis of Knowledge Sharing Activities on a Social Network Incorporated Discussion Forum: a Case Study of DISboards, IEEE Transactions on Big Data (TBD), vol. 4, no. 4, pp. 432-446, 1 Dec. 2018

    Paper

  • [3] Z. Li and H. Shen, Measuring Scale-up and Scale-out Hadoop with Remote and Local File Systems and Selecting the Best Platform, IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 28, No. 11, pp: 3201 - 3214, 2017

    Paper

  • [2] Z. Li, H. Shen, W. Ligon and J. Denton, An Exploration of Designing a Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements, IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 28, No. 2, pp: 386 - 400, 2017

    Paper

  • [1] H. Shen and Z. Li, New Bandwidth Sharing and Pricing Policies to Achieve a Win-Win Situation for Cloud Provider and Tenants, IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 27, No. 9, pp: 2682 - 2697, 2016

    Paper

International Conferences:

  • [19] Y. Babuji, A.Woodard, Z. Li, B. Clifford, R. Kumar, L. Lacinski, R. Chard, J.Wozniak, I. Foster, M. Wilde, D. Katz, and K. Chard. Parsl: Pervasive parallel programming in python. In Proceedings of ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2019 [acceptance rate: 20.7%] (Best Paper Nominees)

  • Paper

  • [18] Z. Li and H. Shen. JobPacker: Job Scheduling for Data-Parallel Frameworks with Hybrid Electrical/Optical Datacenter Networks, In Proceedings of 48th International Conference on Parallel Processing (ICPP), August 5-8, 2019, Kyoto Research Park, Kyoto, Japan [acceptance rate: 26%]

  • [17] Z. Li and H. Shen. Accelerating Big Data Analytics Using Scale-up/out Heterogeneous Clusters. In Proceedings of the 28th International Conference on Computer Communications and Networks (ICCCN), July 29 - August 1, 2019, Valencia, Spain [acceptance rate: 29%]

  • [16] L. Kang, H. Shen, and Z. Li. Road Gradient Estimation Using Smartphones: Towards Accurate Estimation on Fuel Consumption and Air Pollution Emission on Roads. In Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS), July 7-10, 2019, Dallas, Texas, USA [acceptance rate: 19.6%]

  • [15] Z. Li and H. Shen. Co-scheduler: Accelerating Data-Parallel Jobs in Datacenter Net- works with Optical Circuit Switching. In Proceedings of the 39th IEEE International Con- ference on Distributed Computing Systems (ICDCS), July 7-10, 2019, Dallas, Texas, USA [acceptance rate: 19.6%]

  • [14] Ryan Chard, Zhuozhao Li, Kyle Chard, Logan Ward, Yadu Babuji, Anna Woodard, Steve Tuecke, Ben Blaiszik, Michael J. Franklin, and Ian Foster, DLHub: Model and Data Serving for Science, In Proceedings of 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 20-24, 2019 Rio de Janeiro, Brazil

  • Paper

  • [13] H. Wang, H. Shen and Z. Li, Approaches for Resilience Against Cascading Failures in Cloud Datacenters, In Proceedings of 38th IEEE International Conference on Distributed Computing Systems (ICDCS), July 2-5, 2018, Vienna, Austria [acceptance rate: 20%]

  • Paper

  • [12] Z. Li, H. Shen and C. Miles, PageRankVM: A PageRank Based Algorithm with Anti- Collocation Constraints for Virtual Machine Placement in Cloud Datacenters, In Proceed- ings of 38th IEEE International Conference on Distributed Computing Systems (ICDCS), July 2-5, 2018, Vienna, Austria [acceptance rate: 20%]

  • Paper

  • [11] Z. Li, H. Shen, and A. Sarker, A Network-aware Scheduler in Data-parallel Clusters for High Performance, In Proc. of 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 1-4, 2018, Washington, DC, USA [acceptance rate: 20.8%]

  • Paper

  • [10] L. Yan, H. Shen, Z. Li, A. Sarker, J. A. Stankovic, C. Qiu, J. Zhao and C. Xu, Employing Opportunistic Charging for Electric Taxicabs to Reduce Idle Time, In Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Oct 8-12, 2018, Singapore, Singapore

    Paper

  • [9] A. Sarker, Z. Li, W. Kolodzey and H. Shen, Opportunistic Energy Sharing Between Power Grid And Electric Vehicles: A Game Theory-based Nonlinear Pricing Policy, In Proc. of the 37th International Conference on Distributed Computing Systems (ICDCS), June 05 - June 08, 2017, Atlanta, GA, USA

  • Paper

  • [8] Z. Li, H. Shen, J. Denton and W. Ligon, Comparing Application Performance on HPC-based Hadoop Platforms with Local Storage and Dedicated Storage, In Proc. of the 2016 IEEE International Conference on Big Data (IEEE BigData), December 5-8, 2016, Washington D.C., USA [acceptance rate: 18.68%]

  • Paper

  • [7] H. Shen, L. Yu, L. Chen and Z. Li, Goodbye to Fixed Bandwidth Reservation: Job Scheduling with Elastic Bandwidth Reservation in Clouds, In Proc. of the 8th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), December 12-15, 2016, Luxembourg [acceptance rate: 50193]

  • Paper

  • [6] A. Ghavami, Z. Li and H. Shen, Game Theory-Based Nonlinear Bandwidth Pricing for Congestion Control in Cloud Networks, In Proc. of the 8th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), December 12-15, 2016, Luxembourg [acceptance rate: 50193]

  • Paper

  • [5] Z. Li, H. Shen and K. Chen, Learning Network Graph of SIR Epidemic Cascades Using Minimal Hitting Set based Approach, In Proc. of the 25th International Conference on Computer Communications and Networks (ICCCN), 2016

  • Paper

  • [4] A. Ghavami, Z. Li, and H. Shen, On-Demand Bandwidth Pricing for Congestion Control in Core Switches in Cloud Networks, In Proc. of the 9th IEEE International Conference on Cloud Computing (CLOUD) short paper, 2016

  • Paper

  • [3] Z. Li, H. Shen, W. Ligon and J. Denton, Performance Measurement on Scale-up and Scale-out Hadoop with Remote and Local File Systems, In Proc. of the 9th IEEE International Conference on Cloud Computing (CLOUD), 2016 [acceptance rate: 16.7%]

  • Paper

  • [2] Z. Li and H. Shen, Designing A Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements for High Application Performance, In Proc. of IEEE International Conference on Parallel Processing (ICPP), 2015 [acceptance rate: 32.5%]

    Paper

  • [1] H. Shen and Z. Li, New Bandwidth Sharing and Pricing Policies to Achieve A Win-Win Situation for Cloud Provider and Tenants, In Proc. of IEEE Conference on Computer Communications (INFOCOM), 2014 [acceptance rate: 19.4%]

    Paper

Poster:

  • [1] Z. Li and H. Shen, Job Scheduling for Data-Parallel Frameworks with Hybrid Electrical/Optical Datacenter Networks, In ACM Symposium on Cloud Computing (SoCC) Poster, 2017

Awards and Services

Awards:

  • Outstanding Graduate Research Assistant, awarded by University of Virginia, 2018
  • IEEE/ACM CCGrid Student Travel Award, 2018
  • Outstanding Graduate Research Assistant (Honorable Mentioned), awarded by University of Virginia, 2017
  • ACM SoCC Student Scholarship, 2017
  • IEEE BigData student Travel Grant Award, 2016
  • IEEE ICPP student Travel Grant Award, 2015
  • Scholarship, awarded by Zhejiang University, 2007, 2008
  • First Class, National High School Mathematics League, awarded by Chinese Mathematical Society, 2005

Coneferences Organizations:

  • Workshop Vice-chair IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2019
  • Publicity Chair, IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2019
  • Publicity Chair, IEEE International Conference on Fog and Edge Computing (ICFEC), 2019
  • Web Chair of the IEEE International Conference on Network, Storage and Architecture (NAS), 2017
  • Web Chair of the International Conference on Computer Communications and Networks (ICCCN), 2017

Reviewer (Conferences):

  • IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid), 2019
  • IEEE International Conference on Fog and Edge Computing (ICFEC), 2019
  • IEEE Global Communications Conference (GLOBECOM), 2018

Reviewer (Journals):

  • IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018

External Reviewer (Conferences):

  • ACM Symposium on High-Performance Parallel and Distributed Computing, 2018
  • IEEE International Conference on Computer Communications (INFOCOM), 2014-2018
  • IEEE International Conference on Computer Communications and Networks (ICCCN), 2015
  • IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2014-2015
  • IEEE International Conference on Network Protocols (ICNP), 2014

External Reviewer (Journals):

  • IEEE Transactions on Networking (ToN), 2016
  • ACM Transaction on Cyber-Physical Systems (TCPS), 2016

Contact

  • zhuozhao at uchicago.edu
  • Department of Computer Science, University of Virginia, Charlottesville, VA, 22903, USA.