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Hongliang Li, Ph.D. Associate Professor |
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Email: lihongliang AT jlu.edu.cn
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About me |
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I received my Ph.D. degree in Computer Application Technology, M.S. degree in Computer System Architecture, and B.S. degree in Computer Science and Technology from Jilin University.
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Research Interests |
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My research areas are distributed computing and high-performance computing, focusing on resource scheduling and fault tolerant for networked systems. |
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Selected Publications Journal Papers [1] H. Li, H. Zhao, T. Sun, X. Li, H. Xu, K. Li. Interference-aware Opportunistic Job Placement for Shared Distributed Deep Learning Clusters. Journal of Parallel and Distributed Computing (JPDC), 2023. [2] H. Li, J. Wu, Z. Jiang, X. Li, X. Wei. A Task Allocation Method for Stream Processing with Recovery Latency Guarantee. Journal of Computer Science and technology, vol.33, no.6, pp.1125-1139, 2018.11. DOI:10.1007/s11390-018-1876-6 [3] H. Li, J. Wu, Z. Jiang, X. Li, X. Wei. Minimum Backups for Stream Processing with Recovery Latency Guarantees. IEEE Transactions on Reliability, vol.66, no.99, pp.1-12. 2017. DOI:10.1109/TR.2017.2712563 [4] X. Wei, L. Li, X. Li, X. Wang, S. Gao. H. Li. Pec: Proactive Elastic Collaborative Resource Scheduling in Data Stream Processing. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 30. No. 7, pp. 1628-1642, July 1 2019. DOI:10.1109/TPDS.2019.2891587 [5] X. Wei, Z. Xu, H. Li, Z. Ding. Coordinated process scheduling algorithms for coupled earth system models. Concurrency and Computation: Practice and Experience, e6346, Oct 25, 2021. [6] Y. Zhuang, X. Wei, H. Li, Y. Wang, X. He. An optimal checkpointing model with online OCI adjustment for stream processing applications. Concurrency and Computation: Practice and Experience. June 10, 2019. DOI:10.1002/cpe.5347 [7] X. Wei, Y. Zhuang, H. Li, Z. Liu. Reliable stream data processing for elastic distributed stream processing systems. Cluster Computing. May 21, 2019. DOI:10.1007/s10586-019-02939-9 [8] W. Wei, X. Wei, H. Li. Topology-aware Task Allocation for Online Distributed Stream Processing Applications with Latency Constraints. Physica A: Statistical Mechanics and its Applications. Vol. 534, Nov. 15, 2019. DOI:10.1016/j.physa.2019.122024 [9] X. Wei, H. Li, K. Yang, L. Zou. Topology-aware Partial Virtual Cluster Mapping Algorithm on Shared Distributed Infrastructures. IEEE Transactions of Parallel and Distributed Systems (TPDS), vol.25, no.10, pp.2721-2730, October 2014. DOI:10.1109/TPDS.2013.224 [10] H. Li, X. Wei, Q. Fu, Y. Luo. MapReduce Delay Scheduling with Deadline Constraint. Concurrency and Computation: Practice and Experience, vol.26, no.3, pp.766-778, March 10, 2014. DOI:10.1002/cpe.3050 [11] X. Wei, Y. Jin, H. Li, X. Wang and S. Hu. Virtual Resource Consolidation for Green Computing Based on Virtual Cluster Live Migration. Journal of Communications, vol.11, no.2, pp.192-202, February 2016. DOI:10.12720/jcm.11.2.192-202 [12] X. Wei, W. Li, H. Tian, H. Li, H. Xu, T. Xu. THC-MP: High Performance Numerical Simulation of Reactive Transport and Multiphase Flow in Porous Media. Computers & Geosciences, vol. 80, pp.26-37, 2015. [13] X. Wei, X. Bai, S. Bai and H. LI. On-demand Tile Preload for Large-scale Seismic Data 3D-visualization. Journal of Computational Information Systems, vol.11, no.4, pp.1513-1520, February 2015. DOI:10.12733/jcis13585 [14] X. Wei, S. Hu, H. Li, F. Yang, Y. Jin. A survey on virtual network embedding in cloud computing centers. Open Automation and Control Systems Journal, vol.6, no.1, pp.414-425, 2014. [15] X. Wei, H. Li, L. Hu, Q. Guo, N. Jiang. LimeVI: A Platform for Virtual Cluster Live Migration over WAN. International Journal of Computer Systems Science and Engineering (CSSE), vol.26, No.5, pp.353-364, September 2011. Conference Papers [1] H.li, H. Zhao, Z. Xu, X. Li, and H. Xu. ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs. IEEE International Conference on Cluster Computing (CLUSTER 2023), Oct. 31, 2023, Santa Fe, New Mexico, USA. [2] H. Li, D. Xu, Z. Xu, X. Li. Hybrid Parameter Update: Alleviating Imbalance Impacts for Distributed Deep Learning. 24th IEEE International Conference on High Performance Computing and Communications (HPCC 2022), Dec. 2022. [3] H. Li, T. Sun, X. Li, H. Xu. Job Placement Strategy with Opportunistic Resource Sharing for Distributed Deep Learning Clusters. 2020 IEEE 22nd International Conference on High Performance Computing and Communications (HPCC2020), Dec. 2020. [4] H. Li, Z Xu, F. Tang, X. Wei, Z. Ding. CPSA: A Coordinated Process Scheduling Algorithm for Coupled Earth System Model. 2020 29th International Conference on Computer Communication and Networks (ICCCN), August 2020. [5] Y. Zhuang, X. Wei, H. Li, M. Hou, Y. Wang. Reducing Fault-tolerant Overhead for Distributed Stream Processing with Approximate Backup. 2020 29th International Conference on Computer Communication and Networks (ICCCN), August 2020. [6] Y. Zhuang, X. Wei, H. Li, Y. Wang and X. He. An Optimal Checkpointing Model with Online OCI Adjustment for Stream Processing Applications. 2018 27th International Conference on Computer Communication and Networks (ICCCN), pp. 1-9, July 30 2018, Hangzhou, China. DOI:10.1109/ICCCN.2018.8487327 [7] W. Wei, X. Wei, H. Li. Topology-Aware Task Allocation for Distributed Stream Processing with Latency Guarantee. The 2nd International Conference on Advances in Image Processing, ACM, pp. 245-251, June 16, 2018, Chengdu, China. DOI:10.1145/3239576.3239621 [8] H. Li, J. Wu, Z. Jiang, X. Li, X. Wei. Task Allocation for Stream Processing with Recovery Latency Guarantee. in Cluster Computing (CLUSTER), 2017 IEEE International Conference on. IEEE, 2017, pp. 379–383. DOI:10.1109/CLUSTER.2017.10 [9] H. Li, J. Wu, Z. Jiang, X. Li, X. Wei, Y. Zhuang. Integrated Recovery and Task Allocation for Stream Processing. 2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC), Dec. 10, 2017, San Diego, CA, USA. DOI:10.1109/PCCC.2017.8280443 |
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Grants |
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National Natural Science Foundation of China, PI. Jilin Scientific and Technological Development Program, PI. IBM SUR Program, PI. |
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Teaching |
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Cloud Computing Technology Distributed Storage System Distributed Computing and Cloud Computing |
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Awards |
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Science and Technology Progress Award of Jilin Province, China, First Price, 2018 ACM China, Rising Star Award, 2015 CSC-IBM Award for Excellent Teachers in China, 2014 Science and Technology Progress Award of China Industry and Commerce Association, First Prize, 2014 |