I am currently a postdoc in Globus Lab at University of Chicago. I earned my Ph.D. in the Department of Computer Science under the supervision of Professor Haiying Shen at the University of Virginia in May 2018. My research interests include Computer Networks, Cloud/Edge Computing, Distributed Systems, and Internet of Things. My current research focuses on resource management in clouds and big data frameworks. I received the B.E. degree in Optical Engineering from Zhejiang University, China in 2010, and the M.S. degree in Electrical Engineering from University of Southern California, USA in 2012.
For more information, please refer to my CV.
Ph.D. in Computer Science, 2018
University of Virginia
M.S. in Electrical Engineering, 2012
University of Southern California
B.E. in Optical Engineering, 2010
Zhejiang University
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.
[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), Accepted on August, 2017
[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
[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
[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
[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%]
[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%]
[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%]
[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
[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
[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%]
[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: 50⁄193]
[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: 50⁄193]
[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
[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
[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%]
[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%]
[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%]
[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
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