导师队伍

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唐兵

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唐兵,男,1982年生,博士,副教授,博士生导师,软件工程系主任,校高层次人才“奋进学者”。主要研究方向为大数据系统及性能优化、并行与分布式计算、边缘计算、数据挖掘。是IEEE CS会员、ACM会员、中国计算机学会(CCF)会员,CCF高性能计算专委会委员、CCF YOCSEF长沙分论坛委员。近年来,主持国家级项目1项,省级项目2项,参与国家级和省部级项目6项,参与法国及欧盟项目4项,发表学术论文30余篇,其中20余篇被SCI/EI收录。是JNCA、FGCS、IEEE TBD、FCS、INS、JoGC、JETAI、IJHPCN、IJCSE等多个国际期刊及CCGrid、CoreGrid、CloudCom、e-Science、EuroPar、CCBD、DependSys等多个国际会议的审稿专家。指导学生获得国家级大学生创新项目2项、省级1项,指导学生参加各种科技创新类比赛获得多个奖项。

联系方式btang@hnust.edu.cn  联系地址:逸夫楼503

教育经历
2011/04-2012/12,法国国家计算机与自动化研究所(INRIA)博士后
2008/10-2009/10,法国里昂高等师范学院,国家公派联合培养博士研究生
2007/09-2010/06,武汉理工大学,通信与信息系统专业,工学博士
2004/09-2007/06,武汉理工大学,通信与信息系统专业,工学硕士
2000/09-2004/06,武汉理工大学,计算机科学与技术专业,工学学士

主要的项目
[1] 2018/9-2020/12,主持湖南省教育厅优秀青年基金(18A186):集群环境下时空轨迹数据存储与索引优化研究。
[2]2017/01-2019/12,主持国家自然科学青年基金(61602169):大规模非负矩阵分解的可扩展并行算法研究。
[3]2018/01-2020/12,主持湖南省自然科学基金面上项目(2018JJ2135):基于GPU加速的非负矩阵分解算法及其在推荐中的应用研究。
[4]2015/01-2017/12,主持湖南省自然科学青年基金项目(2015JJ3071):基于推荐的志愿计算资源发现机制研究。
[5]2012/09-2014/12,主持湖南省教育厅科学研究项目(12C0121):桌面网格服务质量保证方法研究。
[6]2012/04-2012/10,欧盟第七框架(FP7)项目:欧洲桌面网格基础设施EDGI (European Desktop Grid Infrastructure),参与子课题SpeQuloS。
[7]2011/10-2012/04,法国国家科研署(ANR)项目:面向云和混合基础设施上Map/Reduce数据密集型应用的可扩展数据管理。
[8]2011/04-2012/04,法国国家科研署(ANR)项目:基于不可靠共享资源的云计算服务
Clouds@home
[9]2008/10-2009/10,欧盟第七框架(FP7)项目:大型网格桥接EDGeS (Enabling Desktop Grids for e-Science),参与子课题DG(Desktop Grid)—SG(Service Grid)。
[10]2008/10-2012/12,法国国家计算机与自动化研究所(INRIA)项目: BitDew开源数据管理中间件。
[11]2008/10-2009/10,法国国家计算机与自动化研究所(INRIA)项目:XtremWeb开源志愿计算平台。
[12]2019/03-2020/03,教育部产学合作协同育人项目(201802002011):基于微信公众平台的软件工程实践教学改革,深圳市腾讯计算机系统有限公司。
[13]2019/03-2020/03,教育部产学合作协同育人项目(201802228002):产学融合的计算机视觉创新实践教育体系与实践平台构建,澎峰(北京)科技有限公司。

代表性论文
[1] Bing Tang, Gilles Fedak. WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems. IEEE Transactions on Big Data, http://dx.doi.org/10.1109/TBDATA.2017.2758791
[2] Mingdong Tang, Yanmin Xia, Bing Tang, Yongmei Zhou, Buqing Cao, Rong Hu. Mining Collaboration Patterns Between APIs for Mashup Creation in Web of Things. IEEE Access, 2019, 7, 14206-14215.
[3] Lujie Tang, Bing Tang, Linyao Kang and Li Zhang. A Novel Task Caching and Migration Strategy in Multi-Access Edge Computing Based on the Genetic Algorithm. Future Internet 2019, 11(8), 181, August 2019
[4] Linyao Kang, Bing Tang, Li Zhang and Lujie Tang. Mobility-aware and Data Caching-based Task Scheduling Strategy in Mobile Edge Computing. In Proceedings of the 17th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2019), IEEE Computer Society.
[5] Bing Tang, Linyao Kang, Yanmin Xia, Li Zhang. GPU-accelerated Large-scale Non-negative Matrix Factorization Using Spark. In Proceedings of the 14th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2018), LNICST 268, Springer International Publishing.
[6] Bing Tang, Mingdong Tang, Gilles Fedak, Haiwu He. Availability/Network-aware MapReduce over the Internet. Information Sciences, 2017, Vol. 379, pp. 94-111.
[7] Bing Tang, Haiwu He, Gilles Fedak. HybridMR: A New Approach for Hybrid MapReduce Combining Desktop Grid and Cloud Infrastructures”. Concurrency and Computation-Practice & Experience, 2015, 16(27): 4140-4155.
[8] Bing Tang, Qi Xie, Haiwu He, Gilles Fedak. Availability and Network-Aware MapReduce Task Scheduling over the Internet. In Proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015), Lecture Notes in Computer Science (LNCS), Volume 9528, pp. 214-227, Springer International Publishing.
[9] Haiwu He, Anthony Simonet, Julio Anjos Jose-Francisco Saray, Gilles Fedak, Bing Tang, Lu Lu, Xuanhua Shi, Hai Jin, Mircea Moca, Gheorghe Cosmin Silaghi, Asma Ben Cheikh, Heithem Abbes. D3-MapReduce: Towards MapReduce for Distributed and Dynamic Data Sets. In Proceedings of 2015 IEEE International Conference on Big Data Intelligence and Computing (DataCom 2015), Chengdu, China, pp. 637-642.
[10] Bing Tang, Haiwu He, Gilles Fedak. Parallel Data Processing in Dynamic Hybrid Computing Environment Using MapReduce. In Proceedings of the 14th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2014), Lecture Notes in Computer Science (LNCS), Volume 8631, pp. 1-14, Springer International Publishing.
[11] Bing Tang, Mingdong Tang. Bayesian Model-based Prediction of Service Level Agreement Violations for Cloud Services. In Proceedings of 2014 Theoretical Aspects of Software Engineering Conference (TASE 2014), Sept. 1-4, 2014, IEEE Computer Society.
[12] Mohamed Labidi, Bing Tang, Gilles Fedak, and Mohamed Jemni. Scheduling Data and Task on Data-Driven Master/Worker Platform. In Proceedings of the 13th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2012), Dec. 14-16, 2012, pp. 593-598.
[13] Bing Tang and Gilles Fedak. Analysis of Data Reliability Tradeoffs in Hybrid Distributed Storage Systems. In Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW 2012), IPDPS 2012, May 21-25, 2012, pp. 1546-1555.
[14] Bing Tang, Mircea Moca, Stéphane Chevalier, Haiwu He, and Gilles Fedak. Towards MapReduce for Desktop Grid Computing. In Proceedings of the 5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2010), Nov. 4-6, Fukuoka, Japan, IEEE Press, pp. 193-200.