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網格計算與網絡安全

李洪亮


姓名:

李洪亮

說明: A person wearing glasses and a suitDescription automatically generated with medium confidence

性别:

職稱:

副教授

是否博導:

最高學曆:

研究生

最高學位:

博士

Email

 

 

詳細情況

基本信息:

      李洪亮,博士、副教授、博士生導師,擔任中國計算機學會分布式計算與系統專業委員會執行委員。于2012年在伟德国际BETVlCTOR獲得博士學位、曾于2011年在加拿大多倫多大學做訪問學者、于2011年在加拿大Platform Computing   Inc.任軟件工程師,于2016-2017年在美國天普大學吳傑教授課題組做博士後訪問學者。曾獲吉林省科技進步一等獎 1 項,中國商業聯合會科技進步一等獎 1 項,所負責的“雲計算技術”系列課程獲批國家級一流本科課程虛拟仿真課程和吉林省一流本科課程國家,獲 ACM 中國新星獎和 IBM 優秀教師獎教金等個人獎項。

主要面向雲計算、數據中心和高性能計環境,研究系統資源調度和各類并行作業容錯方法等,近年來主要開展大規模深度學習作業的分布式深度學習集群環境中的資源調度和容錯優化研究。主持國家自然基金項目等國家級科研項目 2 項,省級科研項目 1 項,國際⏭➰項目 1 項;參與國家級/省級科研項目 5 項等,相關成果發表論文 40 餘篇,獲得國家發明專利 8 項。

教學方面主要負責雲計算技術和分布式存儲等系列課程的建設工作,其中雲計算技術綜合虛拟仿真實驗課程獲批國家級一流本科課程虛拟仿真課程和吉林省一流本科課程。

所研究方向:

分布式計算, 調度算法,容錯,雲計算

招生信息:

所在學科專業:計算機系統結構

招收博士/碩士研究生、本科實習生,歡迎同學們聯系研讨。

講授課程:

雲計算技術A》,計算機學院本科生選修課

雲計算技術B》,計算機學院本科生限選課

《雲計算技術》,軟件學院本科生限選課

《分布式存儲》,軟件學院本科生必修課

《分布式計算和雲計算》,計算機學院研究生選修課

《雲計算技術》,軟件學院研究生選修課

教育經曆:

2011-2011,加拿大,多倫多大學,訪問學者

2009-2012,伟德国际BETVlCTOR,伟德国际BETVlCTOR,博士

2006-2009,伟德国际BETVlCTOR,伟德国际BETVlCTOR,碩士

2002-2006,伟德国际BETVlCTOR,伟德国际BETVlCTOR,本科

工作經曆:

2016至今,伟德国际BETVlCTOR,伟德国际BETVlCTOR,副教授

2016-2017,美國,天普大學,博士後訪問學者

2012-2016,伟德国际BETVlCTOR,伟德国际BETVlCTOR,講師

2011-2011,加拿大,Platform Computing   Inc.,軟件工程師

科研項目:

吉林省科技廳,面上項目,在研

國家自然基金,青年科學基金,結題

國家重點研發計劃項目,子課題,結題

IBM國際⏭➰項目,結題

學術論文:

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. CCF-B

[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 (JCST), vol.33, no.6, pp.1125-1139, 2018.11. (CCF-B) 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. (中科院一區) 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. (CCF-A) 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 (CCPE), e6346, Oct 25, 2021. (CCF-C)

[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 (CCPE). June 10, 2019. (CCF-C) 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. (中科院三區) 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. (中科院二區) 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. (CCF-A) 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 (CCPE),   vol.26, no.3, pp.766-778, March 10, 2014. (CCF-C) 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. (CCF-B )

[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 (HPCC2022), Dec. 2022. (CCF-C)

[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. (CCF-C)

[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. (CCF-C)

[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. (CCF-C)

[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. (CCF-C) DOI:10.1109/ICCCN.2018.8487327

[7] 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. (CCF-B) DOI:10.1109/CLUSTER.2017.10

[8] 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. (CCF-C) DOI:10.1109/PCCC.2017.8280443

獲獎情況:

國家級一流本科課程虛拟仿真課程2023

吉林省科技進步一等獎2018
 
中國商業聯合會科學技術獎一等獎 2014
  CSC-IBM
中國優秀教師獎教金 2014
  ACM
中國新星獎2015
  HPC China 2015
會議優秀論文獎 2015

 

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