基本信息
姓名:林伟伟 办公室:B7-511 办公电话:/ E-mail:linww@scut.edu.cn 所在团队:先进计算体系结构团队 研究方向:云计算能耗建模和调度优化、大数据架构和分析算法、AI应用技术 |
个人简介
林伟伟:华南理工大学计算机科学与工程学院教授、博士和硕士生导师。计算机学会高级会员,IEEE会员。主要的学术研究方向包括:云计算能耗建模和调度优化、大数据架构和分析算法、AI应用技术等。牵头获广东省科技进步奖二等奖(云计算调度优化技术)。主持云计算、大数据和人工智能方面的科研项目20余项,包括3项国家自然基金和多个省部级项目,具有丰富的项目研发经验。主编云计算与大数据系列教材3本,发表论文100余篇(代表性论文发表在TPDS,TCYB,TSC,TCC等优秀期刊上),申请40余件发明专利,成果得到了国际知名学者美国李克勤、澳洲Rajkumar Buyya和Albert Y. Zomaya等IEEE Fellow的认可,并将成果应用到华为技术有限公司、云宏信息科技股份有限公司、广州鼎甲计算机科技有限公司等企业,取得了良好的经济效益。
个人主页:http://www.scholat.com/linweiwei
学历
◆ 博士, 2004.9-2007.7 华南理工大学 计算机应用技术
◆ 硕士,2001.9-2004.7 南昌大学 计算机科学技术
教学经历
本科课程
◆大数据技术(Big Data Technology)
◆ 分布式计算技术(Distributed Computing Technology)
◆ 高级程序设计语言(Advanced Programming Language)
◆ 计算机组成原理(Principles of Computer Organization)
研究生课程
◆ 云计算安全与监控(Cloud computing Security and Monitoring)
◆高级计算机体系结构(Advanced Computer Architecture)
◆ 大数据处理(Big Data Processing)
工作经历
◆ 2007-至今 华南理工大学计算机科学与工程学院
◆2016.7-2017.7 克莱姆森大学 访问学者
获奖情况
◆2020年度广东省科技进步奖二等奖(云计算调度优化技术)
◆2008年华工优秀博士毕业论文
◆2011年本科毕业论文优秀指导老师
◆2013第四届云计算学术大会优秀论文奖
◆2013年度学生科技创新优秀指导教师
◆13,14,15年本科课堂教学质量优秀教师奖
◆2017年科技创新指导教师三等奖
◆2019年优秀本科毕业论文指导教师
社会兼职
◆ 中国计算机学会高级会员,IEEE会员,担任多个国际国内学术期刊和学术会议的审稿人,如《Information Sciences》、《Future Generation Computer Systems》、《Journal of Supercomputing》、《KSII Transactions on Internet and Information Systems》、《IEEE Transactions on Parallel and Distributed Systems》、《Computers & Electrical Engineering》、《International Journal of Simulation and Process Modelling》、《International Journal of Intelligent Systems》、《Cluster Computing》、《Journal of Grid Computing》、《计算机学报》、《华南理工大学学报(自然科学版)》、《东南大学学报(自然科学版)》、《通信学报》、《计算机科学》、《计算机工程与科学》、《华中科技大学学报(自然科学版)》等。
研究方向
◆云计算能耗建模和调度优化
◆大数据架构优化和分析算法
◆人工智能应用技术
科研项目
◆ 17.国家自然科学基金面上项目(62072187). 云数据中心服务器的新功耗模型与节能方法. 2021.01-2024.12. 主持
◆16.广州市重点领域研发计划项目(202007040002).基于AI及大数据的智慧银行综合应用系统. 2020/04-2023/03. 合作单位主持
◆15.华为技术有限公司委托企业横向项目(YBN2019125032). 云业务能效提升技术研发合作项目. 2020.1-2021.1,99万元, 主持
◆14.广东省重大应用基础研究项目(应用型专项),2020B010164003,基于国产CPU的云计算操作系统,2019/10-2024/10,4000万,核心成员
◆13.广东省重点研发计划项目,2017B010126002,基于大数据的保险业潜客识别关键技术研发与应用推广,2020/01-2021/12,200万,合作单位主持
◆ 12.华为技术有限公司委托企业横向项目(YBN2018115159). 云业务能耗模型技术研发项目. 2018.12-2019.12,34.5万元, 主持
◆11.国家自然科学基金(子课题),61872084,基于虚拟集群与容器技术的跨云数据密集型工作流计算研究. 2019.01-2032.12,64万元(直接经费),合作单位主持
◆10.国家自然科学基金面上项目,61772205,面向云计算的虚拟机能耗模型及其应用方法研究,2018/01-2021/12,63万元(直接经费),主持
◆9.广东省科技计划项目(应用型专项),2017B010126002,基于大数据的保险业潜客识别关键技术研发与应用推广,2017/01-2019/12,800万,合作单位主持
◆8.广州市南沙区科技计划项目,2017GJ001,跨媒体大数据智能计算关键技术及应用平台研发,2017/09-2019/08,200万,合作单位主持
◆7.广东省科技厅产学研项目,2017B090901061,自主安全可控的云计算平台关键技术研发,2017/01-2018/12,30万元,合作单位主持
◆6.广东省科技计划项目,2017A010101008,面向大数据平台的多租户关键技术研发,2017/01-2018/12,30万,主持
◆5.广州市科技计划项目,201604010040,云宏云计算管理平台的智能管理关键技术研发,2015/04-2017/03,40万元,合作单位主持
◆4.国家自然科学基金青年科学基金项目,61402183,异构云环境下能耗高效调度模型与优化方法研究,2015/01-2017/12,26万元,主持
◆3.广东省科技计划项目,2014B010117001,面向海量云存储用户的大数据分析关键技术研发及应用示范,2015/01-2017/12,50万元,合作单位主持
◆2.国家自然科学基金青年科学基金项目,61202466,云计算环境下的安全外包计算研究,2013/01-2015/12,23万元,第二参与人
◆1.广东省科技计划项目,2013B010401024,云存储的节能技术研发,2013/06-2015/06,10万元,合作单位主持
发表文章
[46]Tiansheng Huang, Weiwei Lin*, Wentai Wu, Ligang He, Keqin Li, Albert Zomaya. An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee. IEEE Transactions on Parallel and Distributed Systems, 2021, 32(7): 1552-1564
[45]Wentai Wu, Ligang He*, Weiwei Lin, Rui Mao. Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. IEEE Transactions on Parallel and Distributed Systems, 2021, 32(7): 1539-1551
[44]Weiwei Lin, Tianhao Yu, Chongzhi Gao, Fagui Liu, Tengyue Li, Simon Fong, Yongxiang Wang. A Hardware-aware CPU Power Measurement Based on the Power-exponent Function Model for Cloud Servers. Information Sciences, 2021,547, 1045-1065
[43]Wentai Wu, Ligang He, Weiwei Lin, Yi Su, Yuhua Cui, Carsten Maple, Stephen A. Jarvis. Developing an Unsupervised Real-time Anomaly Detection Scheme for Time Series with Multi-seasonality. IEEE Transactions on Knowledge and Data Engineering, 2020, DOI:10.1109/TKDE.2020.3035685
[42]Weiwei Lin, Tiansheng Huang, Xin Li,, Fang Shi,, Xiumin Wang, Ching-Hsien Hsu,. Energy-Efficient Computation Offloading for UAV-Assisted MEC: a Two-Stage Optimization Scheme. ACM Transactions on Internet Technology, 2020, accepted
[41]陈玉平, 刘波, 林伟伟*, 程慧雯. 云边协同综述. 计算机科学, 2021
[40]You Deguang, Weiwei Lin, Fang Shi, Jianzhuo Li, Deyu Qi, Simon Fong. A Novel Approach for CPU Load Prediction of Cloud Server Combining Denoising and Error Correction Computing. Computing, 2020,DOI:10.1007/s00607-020-00865-y
[39]Weiwei Lin*, Guangxin Wu, Xinyang Wang, Keqin Li. An artificial neural network approach to power consumption model construction for servers in cloud data centers. IEEE Transactions on Sustainable Computing, 2020, 5(3):329-34
[38]马泽华, 刘波, 林伟伟*, 李加伟. 无服务器平台资源调度综述. 计算机科学, 2021
[37]WEIWEI LIN, FANG SHI, WENTAI WU, KEQIN LI, GUANGXIN WU, AL-ALAS MOHAMMED. A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers. ACM Computing Surveys, 2020, Accepted
[36]Tiansheng Huang, Weiwei Lin*, Chennian Xiong, Rui Pan, Jingxuan Huang. An Ant Colony Optimization Based Multi-objective Service Replicas Placement Strategy for Fog Computing. IEEE Transactions on Cybernetics, 2020, DOI:10.1109/TCYB.2020.2989309.
[35]Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen Jarvis. SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. IEEE Transactions on Computers, 2020, DOI 10.1109/TC.2020.2994391
[34]Weiwei Lin*, Yufeng Zhang, Wentai Wu, Simon Fong, Ligang He, Jia Chang. An adaptive workload-aware power consumption measuring method for servers in cloud data centers. Computing, 2020, DOI: 10.1007/s00607-020-00819-4
[33]Chenxin Dai, Xiumin Wang*, Kai Liu, Deyu Qi, Weiwei Lin, Pan Zhou. Stable Task Assignment for Mobile Crowdsensing with Budget Constraint. IEEE Transactions on Mobile Computing, 2020, DOI: 10.1109/TMC.2020.3000234
[32]Pang, Xiongwen and Zhou, Yanqiang and Li, Pengcheng and Lin, Weiwei* and Wu, Wentai and Wang, James Z. A novel syntax-aware automatic graphics code generation with attention-based deep neural network[J]. Journal of Network and Computer Applications, 2020: 102636.
[31]Xiongwen Pang, Yanqiang Zhou, Pan Wang, Weiwei Lin*, Victor Chang. An Innovative Neural Network Approach for Stock Market Prediction. The Journal of Supercomputing, 2020,76:2098–2118.
[30]Weiwei Lin, Wentai Wu, Ligang He. An On-line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers. IEEE Transactions on Services Computing, 2019, DOI: 10.1109/TSC.2019.2961082
[29]Weiwei Lin*, Gaofeng Peng, Xinran Bian, Siyao Xu, Victor Chang, Yin Li. Scheduling Algorithms for Heterogeneous Cloud Environment: Main Resource Load Balancing Algorithm and Time Balancing Algorithm. Journal of Grid Computing, 2019, 17(4), 699-726.
[28]Yingxuan Chen, Weiwei Lin*, James Z. Wang. A dual-attention-based stock price trend prediction model with dual features. IEEE Access, 2019,7(1):148047-148058
[27]Weiwei Lin*, Zilong Zhang, Shaoliang Peng. Academic research trend analysis based on big data technology. International Journal of Computational Science and Engineering, 2019, 20(1): 31-39.
[26] Wentai Wu, Weiwei Lin*, Ligang He, Guangxin Wu, Ching-Hsien Hsu. A Power Consumption Model for Cloud Servers Based on Elman Neural Network. IEEE Transactions on Cloud Computing, 2019, DOI: 10.1109/TCC.2019.2922379
[25] Yan Zhong, Simon Fong, Shimin Hu, Raymond Wong, Weiwei Lin. A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation. Sensors, 2019, 19(20): 4536.
[24] Weiwei Lin*, Guangxin Wu, Xinyang Wang, Keqin Li. An artificial neural network approach to power consumption model construction for servers in cloud data centers. IEEE Transactions on Sustainable Computing, 2019, DOI: 10.1109/TSUSC.2019.2910129
[23] Ziming Wu, Weiwei Lin*, pan liu, jingbang chen, li mao. Predicting long-term scientific impact based on multi-field feature extraction. IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2910239
[22] 舒娜, 刘波, 林伟伟*, 李鹏飞. 分布式机器学习平台与算法综述. 计算机科学, 2019, 46(3): 9-18.
[21] Tiansheng Huang, Weiwei Lin*, Yin Li,LiGang HeShao,Liang Peng. A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. Journal of Signal Processing Systems, 2019: 1-14.
[20] Weiwei Lin*, Zilong Zhang, Shaoliang Peng. Academic research trend analysis based on big data technology. International Journal of Computational Science and Engineering, 2018,DOI: 10.1504/IJCSE.2017.10016151
[19] Wei-Wei Lin, Wen-Tai Wu, Hao-Yu Wang, James Z. Wang, Ching-Hsien Hsu. Experimental and Quantitative Analysis of Server Power Model for Cloud Data Centers. Future Generation Computer Systems, 2018,86:940-950.
[18] Weiwei Lin*, Haoyu Wang, Yufeng Zhang, Deyu Qi, James Z. Wang, Victor Chang. A cloud server energy consumption measurement system for heterogeneous cloud environments. information sciences, , 2018, 468: 47-62
[17] WenTai Wu, WeiWei Lin*, Ching-Hsien Hsu, LiGang He. Energy-Efficient Hadoop for Big Data Analytics and Computing: A Systematic Review and Research Insights. Future Generation Computer Systems,2018,86:1351-1367.
[16] Lin Longxin, Weiwei Lin*, and Huang Sibin. Group object detection and tracking by combining RPCA and fractal analysis. Soft Computing, 2018, 22(1): 231-242.
[15] Delong Cui, Zhiping Peng, Jianbin Xiong, Bo Xu, Weiwei Lin. A Reinforcement Learning-based Mixed Job Scheduler Scheme for Grid or IaaS Cloud. IEEE Transactions on Cloud Computing, 2017.
[14] Weiwei Lin, Weiqi Wang, Wentai Wu,Xiongwen Pang, Bo Liu, et al.. A Heuristic Task Scheduling Algorithm Based on Server Power Efficiency Model in Cloud Environments. Sustainable Computing: Informatics and Systems, 2017,DOI:10.1016/j.suscom.2017.10.007
[13] Wentai Wu, Weiwei Lin*, Zhiping Peng. An Intelligent Power Consumption Model for Virtual Machines under CPU-intensive workload in Cloud Environment . Soft Computing.2017, 21(19):5755–5764.
[12] Weiwei Lin, Ziming Wu, Longxin Lin, Angzhan Wen and Jin Li. An Ensemble Random Forest Algorithm for Insurance Big Data Analysis. IEEE Access,2017, 5(11):16568-16575
[11]Weiwei Lin, SiYao Xu, Jin Li, Lingling Xu, Zhiping Peng. Design and theoretical analysis of virtual machine placement algorithm based on peak workload characteristics. Soft Computing. 2017, 21(5): 1301-1314
[10] Weiwei lin, Siyao xu, Ligang He, Jin Li. Multi-Resource Scheduling and Power Simulation for Cloud Computing. Information Sciences, 2017, 397: 168-186.
[9] Wei-Wei Lin, Wen-Tai Wu, Hao-Yu Wang, James Z. Wang, Ching-Hsien Hsu. Experimental and Quantitative Analysis of Server Power Model for Cloud Data Centers. Future Generation Computer Systems, 2018,86:940-950, DOI: 10.1016/j.future.2016.11.034
[8] 徐思尧,林伟伟*,王子骏. 基于负载高峰特征的虚拟机放置算法. 软件学报, 2016,27(7):1876-1887
[7] 林伟伟,吴文泰. 面向云计算环境的能耗测量和管理方法. 软件学报,2016,27(4):1026-1041
[6] Weiwei Lin, Wentai Wu, James Z. Wang. A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters. Scientific Programming, Volume 2016 (2016), Article ID 7040276, 10 pages,http://dx.doi.org/10.1155/2016/7040276.
[5] Wang Xinyang, Liang Jiarong , Qi Deyu, lin Weiwei. . The twisted crossed cube. Concurrency and Computation: Practice and Experience, 2016,28: 1507–1526.
[5] Weiwei Lin, Chaoyue Zhu, Jin Li, Bo Liu, Huiqiong Lian. Novel Algorithms and Equivalence Optimization for Resource Allocation in Cloud Computing. International Journal of Web and Grid Services, 2015,11(2):193-210
[4] Wei-Wei Lin, Chao Yang, Chao-yue zhu, James Z. Wang, Zhi-ping Peng. Energy Efficiency Oriented Scheduling for Heterogeneous Cloud Systems. International Journal of Grid and High Performance Computing, 2014, 6(4): 1-14.
[3] Weiwei Lin, Chen Liang, James Z. Wang, and Rajkumar Buyya. Bandwidth-aware divisible task scheduling for cloud computing. Software: Practice and Experience[J], ISSN: 0038-0644, Wiley Press, New York, USA, 2014,44(2):163–174
[2] Wei-Wei Lin, Liang Tian, James Z. Wang. Novel Resource Allocation Algorithm for Energy-Efficient Cloud Computing in Heterogeneous Environment. Journal of Grid and High Performance Computing (IJGHPC), 2014, 6(1): 63-76.
[1] 林伟伟,刘波,朱良昌,齐德昱. 基于CSP的能耗高效云计算资源调度模型与算法. 通信学报,2013,(12):33~41.(第四届云计算学术大会优秀论文)
申请专利
1.发明专利.一种面向异构平台的能耗优化调度方法(已授权). 中国,ZL201510765040.X. 2018.12. 林伟伟,杨超.
2.发明专利.一种面向大数据的云容灾备份方法(已授权). 中国,ZL201510350060.0. 2018.02.林伟伟,张子龙,钟坯平
3.发明专利.一种基于云计算的大数据统一分析处理方法(已授权). 中国,ZL201310460030.6. 2018.04 .林伟伟; 齐德昱.
4.发明专利.一种基于分布式内存计算的数据去重方法(已授权).中国,ZL201510670867.2. 2018.08. 林伟伟,钟坯平,利业鞑.
5.发明专利.基于服务发现和容器技术的大数据平台弹性伸缩方法(已授权).中国,ZL201711062730.4. 2017.11.林伟伟、吴梓明、张子龙.
6.发明专利. 面向组件依赖的负载均衡容器调度方法(已授权), 中国, ZL201711062824.1. 2017.11 . 林伟伟、吴梓明
7.发明专利.基于超资源融合的云计算体系的构造方法(已授权),中国,201210444683.0. 2012.11 . 齐德昱、林伟伟、李剑
8.发明专利. 一种基于数据交互融合的计算机系统构造方法(已授权),中国,201110266617.4. 2011.09 . 齐德昱、林伟伟、李剑
9.发明专利. 一种基于动态重配置虚拟资源的云计算资源调度方法(已授权),中国,201010268105.7. 2010.09 . 林伟伟、齐德昱
10.发明专利. 一种基于部件能耗模型的云服务器能耗测算方法及系统,中国, 201710924039.6. 2017.09 . 林伟伟、王浩宇、吴文泰
11.发明专利 . 一种面向不同类型负载的多租户资源优化调度方法,中国, 2016109160594. 2016.10 . 林伟伟、温昂展、张子龙、张国强、李进
12.发明专利. 一种基于容器和虚拟机混合云环境下的负载动态迁移方法(申请号201910494970.4). 2019.06 . 林伟伟,刘阳
13.发明专利. 一种面向容器集群的能耗优化资源调度系统及其方法(申请号201811517271.9). 2018.12 . 林伟伟、王泽涛