徐飞 副教授
计算机科学与技术学院??????


导航
个人资料
研究方向
开授课程
科研项目
学术成果
荣誉及奖励







个人资料
部门： 计算机科学与技术学院
毕业院校： 华中科技大学
学位： 工学博士
学历： 博士研究生
邮编： 200062
联系电话： +86-
传真：
电子邮箱： fxu@cs.ecnu.edu.cn
办公地址： 理科大楼B709室
通讯地址： 上海市中山北路3663号理科大楼B709室

教育经历
2009.09~2014.06Ph.D. in Computer Science and Engineering Huazhong University of Science and TechnologySupervisor:Prof. Hai Jin;co-supervisor:Prof. Fangming Liu

2007.09~2009.07 M.Eng. in Communication and Information SystemHuazhong University of Science and Technology
2003.09~2007.07 B.Eng. in Communication EngineeringHuazhong University of Science and Technology


工作经历
2017.01~至今华东师范大学计算机科学与技术学院副教授
2014.07~2016.12华东师范大学计算机科学与技术学院晨晖****（师资博士后）


个人简介
Fei Xu received the PhD degree in Computer Science and Engineering from Huazhong University of Science and Technology, Wuhan, China, in 2014. He received Outstanding Doctoral Dissertation Awardin Hubei province, China, and ACM Wuhan & Hubei Computer Society Doctoral Dissertation Awardin 2015. He is currently an associate professor in the School of Computer Science and Technology, East China Normal University, Shanghai, China. His research interests include cloud computing, virtualization technology,and distributed systems.


社会兼职
中国计算机学会分布式计算与系统专业委员会委员，上海市计算机学会存储专业委员会副主任.
Program Committee MemberforThe International Workshop on Intelligent Cloud Computing and Networking (ICCN 2020andICCN 2019), held in conjunction with IEEE INFOCOM;The International Conference on Informatics and Computing (PIC 2018, PIC 2017, PIC 2016).
Volunteer Committee Memberfor The ACM Turing 50th Celebration Conference - China (ACM TURC 2017, ACM图灵奖五十年中国大会), held in Shanghai, China,May 12-14, 2017.
Publication Chair,Web Chair, andProgram Committee Memberfor The 11th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2015), held in Wuhan, China, Nov. 10-11, 2015.
Web ChairforThe 9th International Conference on Green, Pervasive and Cloud Computing (GPC 2014), held in Wuhan, China, May 26-28, 2014.

Invited Reviewerfor IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, IEEETransactions on Knowledge and Data Engineering,IEEE Transactions on Automation Science and Engineering,IEEE Systems Journal,Concurrency and Computation: Practice and Experience, Journal of Supercomputing, Cluster Computing, 计算机学报, 中国科学: 信息科学.


研究方向
1. Predictable Cloud Computing (云计算性能保证):
Resource (VMs & serverless functions) provisioning for predictable performance in the cloud
Performance measurements, modeling, and optimization of representative cloud workloads (distributed DNN training, big data analytics, NoSQL databases, etc.)
Live migration of virtual machines and containers


2. Distributed Machine Learning Systems (分布式机器学习系统):
Communication scheduling optimization for distributed machine learning
Task scheduling for performance optimization of DAG-style data analytics


3. Collaborative Cloud-Edge Computing (云边协同计算):
Interferece-aware container migration in cloud-edge systems

Energy-efficient mobile Web browser


Doctoral Dissertation:Towards Predictable Performance in IaaS Clouds: PerformanceOptimization and Scheduling of Virtual MachineWorkloads(面向IaaS 云计算的虚拟机负载性能优化与保证机制研究), April 18, 2014.
March2016, Won 2015 ExcellentDoctoral Dissertation Awardin Hubei Province(获得2015年度湖北省优秀博士学位论文奖).
May 2015, Won2015 ACM Wuhan & Hubei Computer Society Doctoral Dissertation Award(获得2015年度ACM武汉&湖北省计算机学会优秀博士论文奖).



My Google Scholar Citation Webpage



开授课程
COMS.02,Principles of Database System(数据库系统原理), 2015-2020, East China Normal University
COMS.02,Database Systems Laboratory(数据库系统实践), 2016-2020, East China Normal University
COMS.01,Mobile Application Development(移动应用开发), 2016-2020, East China Normal University
COMS,Information System Modeling and Design (信息系统建模与设计), 2014, 2017, East China Normal University

My Students

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Master Students
2020级：Ruitao Shang（尚睿涛）；Xiyue Shen（沈希乐）
2019级：Jianian Xu（徐家年）
2018级：Yiling Qin（秦伊玲）；Qiang Qi（齐强）
2017级：Haoyue Zheng（郑皓月）, 获国家奖学金,上海市优秀毕业生, graduated in Summer 2020 and now works in Ctrip, Shanghai（上海携程）；Wujie Shao（邵武杰）, graduated in Spring 2020 and now works in Ele.me, Shanghai（饿了么）
2016级：Huan Jiang（蒋欢）, graduated in Spring 2019 and now works in China Merchants Bank, Chongqing（招商银行重庆分行）
2015级：Shuai Yang（杨帅）, graduated in Summer 2018 and now works in Ctrip, Shanghai（上海携程）
2013级：Wangying Ye（叶王颖, co-supervised with Prof. Wei Zhang）, graduated in Spring 2016 and now works in Works Applications, Shanghai (上海万革始软件应用软件有限公司)

Undergraduate Students

ECNULostFound v2.0（丢了么2.0—基于微信小程序的线上失物招领平台，2019-2020）—— Yu Chen（陈雨）；Qianjia Chen（陈前嘉）；Chunyu Wang（汪春雨）；Siyu Gao（高思宇）. 该项目获中国高校计算机大赛-2020微信小程序应用开发赛华东赛区二等奖.
ECNULostFound（丢了么—华师大失物招领微信小程序，2018-2019）—— Qianjia Chen（陈前嘉）；Chunyu Wang（汪春雨）. 该项目获2019年上海市计算机应用能力大赛决赛二等奖；获2019年（第12届）中国大学生计算机设计大赛三等奖.
Spot Price Modeling（2016-2017） —— Xiaochen Wang（王晓晨）; Pin Fang（方品）.
iSecWiFi（面向无线网络安全的Wi-Fi集成化管理助手，2015-2016） ——Yuhan Liu（刘禹含）; Yuwei Wang（汪雨薇）; Jiefeng Han（韩杰枫）.
Graduation Thesis ——2017级：徐梓翔，向梦麟，周璇，巢祯麟；2016级：张臻炜（华东师范大学校级优秀本科生毕业论文），陈前嘉，乐巍；2015级：张伦；2014级：秦伊玲（上海海事大学校级优秀本科生毕业论文），赖俊宇，陈圆，李天；2013级: 汪雨薇（华东师范大学校级优秀本科生毕业论文），郑皓月，王晓晨，田琪，江雯；2012级:沈荣慧，穆月涵.





科研项目
NSFC国家自然科学基金面上项目(The National Natural Science Foundation of China),No.**,Towards Predictable Deep Learning: Cost-Effective Cloud Resource Provisioning and Performance Optimization(面向可预测深度学习的高效益云资源配置与性能优化机制研究),Principal Investigator, 01/2020 – 12/2023.
上海市科委“科技创新行动计划”高新技术领域项目, No., 面向可预测性能的虚拟化资源配置技术研究, Principal Investigator, 11/2020-10/2022.
2020腾讯基础平台技术犀牛鸟专项研究计划, 面向多租户NoSQL存储性能保证的负载调度及公平计价方法研究,Principal Investigator, 10/2020 – 10/2021.
上海市科委“科技创新行动计划”高新技术领域项目（重点项目）, No.**, 面向性能干扰感知的网络业务实时迁移技术研究,Principal Investigator,06/2017-06/2019.
NSFC国家自然科学基金青年项目(The National Natural Science Foundation of China), No.**, Towards PredictablePerformance in IaaS clouds: Elastic ResourceProvisioning and Cost Efficiency Optimization(面向IaaS云性能保证的资源弹性配置及其性价比优化研究),Principal Investigator, 01/2016 – 12/2018.
中国博士后科学基金特别资助(The Postdoctoral Science Foundation of China), No.2016T90353,Towards Predictable Performance and Optimal Cost-Effective ResourceProvisioning in IaaS Clouds (面向IaaS 云性能保证的性价比最优资源租用方法研究),Principal Investigator, 08/2016 – 08/2018.
中国博士后科学基金面上资助 (一等资助)(The Postdoctoral Science Foundation of China), No.2015M580307,Achieving Application-level Utility Max-min Fairness of Bandwidth Allocation Based on Flow Aggregation in Datacenter Networks(基于云应用流聚合的效用公平带宽分配方法研究),Principal Investigator, 12/2015 － 12/2017.
杨浦区博士后创新实践基地项目(2019), 源慧ESDMP大数据平台 (合作企业: 上海源慧信息科技股份有限公司),Co-Principal Investigator, 01/2019 － 05/2020.
杨浦区博士后创新实践基地项目(2017), 快消品行业营销大数据系统-分析系统 (合作企业: 上海源慧信息科技股份有限公司),Co-Principal Investigator, 07/2017 － 07/2018.

上海市多维度信息处理重点实验室开放课题,面向内存大数据处理应用性能保证的云资源优化配置研究,Principal Investigator, 05/2016 － 04/2017.
杨浦区博士后创新实践基地项目(2016),基于虚拟现实技术的智能化商业展示系统应用与研究 (合作企业:上海奥瑞杰展览展示有限公司),Co-Principal Investigator, 03/2016 － 06/2017.



学术成果

Journal Papers:
Xinli Huang, Peng Shi, Yufei Liu,Fei Xu*, “Towards Trusted and Efficient SDN Topology Discovery: A Lightweight Topology Verification Scheme,” Computer Networks, 2020, 170: 107-119. (SCI index, CCF B)
Fei Xu, Haoyue Zheng, Huan Jiang, Wujie Shao, Haikun Liu, Zhi Zhou,“Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics,”IEEE Transactions on Parallel and Distributed Systems, 2019, 30(5): 1036-1051. (SCI index,CCF A.Project source codes are available on Github)

Fei Xu, Wangying Ye, Yuhan Liu, Wei Zhang,“UFalloc: Towards Utility Max-min Fairness of Bandwidth Allocation for Applications in Datacenter Networks,”ACM/Springer Journal onMobile Networks and Applications (MONET), 2017, 22(2): 161-173.(SCIindex,CCF C)
Fei Xu, Fangming Liu, Hai Jin, “Heterogeneity and Interference-Aware Virtual Machine Provisioning for Predictable Performance in the Cloud,”IEEE Transactions on Computers, 2016, 65(8): 2470-2483.(SCI index,CCF A)
Fei Xu, Fangming Liu, Peng Yin, Hai Jin, “Network-Aware Task Assignment for MapReduce Applications in Shared Clusters,”Journal of Internet Technology, 2015, 16(2): 325-333. (SCI index)
Fei Xu, Fangming Liu, Hai Jin, Athanasios V.Vasilakos, “Managing Performance Overhead of Virtual Machines in Cloud Computing: A Survey, State of Art and Future Directions,”Proceedings of the IEEE, 2014, 102(1): 11-31. (SCI index,CCF A.ESI Highly Cited Paper)
Fei Xu, Fangming Liu, Linghui Liu, Hai Jin, Bo Li, Baochun Li, “iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud,”IEEETransactions on Computers, 2014, 63(12): 3012-3025. (SCIindex,CCF A)


Conference Papers:
Abeda Sultana, Li Chen*,Fei Xu, Xu Yuan,“E-LAS: Design and Analysis of Completion-Time Agnostic Scheduling for Distributed Deep Learning Cluster,” in:Proc. ofICPP 2020,Edmonton, AB, Canada, 17-20 August 2020. (CCF B)
Haoyue Zheng,Fei Xu*, Li Chen, Zhi Zhou, Fangming Liu,“Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training,” in:Proc. ofICPP 2019,Kyoto, Japan, August 5-8, 2019.Article No. 86. (CCF B,acceptance ratio: 26%, 106accepted papers out of 405 submitted full papers)
Wujie Shao,Fei Xu*, Li Chen, Haoyue Zheng, Fangming Liu,“Stage Delay Scheduling: Speeding up DAG-style Data Analytics Jobs with Resource Interleaving,” in:Proc. ofICPP 2019,Kyoto, Japan, August 5-8, 2019.Article No. 8. (CCF B,acceptance ratio: 26%, 106accepted papers out of 405 submitted full papers.Project source codes are available on Github)
Yiling Qin,Lun Zhang,Fei Xu*,Daidong Luo,“Interference and Topology-Aware VM Live Migrations in Software-Defined Networks,” in:Proc. ofHPCC 2019,Zhangjiajie, China, August 10-12, 2019. 1068-1075. (CCF C)
Bin Gao, Zhi Zhou, Fangming Liu*,Fei Xu,“Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing,” in:Proc. ofINFOCOM 2019,Paris, France, April 29-May 2, 2019.1459-1467.(CCF A,acceptance ratio: 19.7%)
Fei Xu, Shuai Yang, Zhi Zhou, Jia Rao, “eBrowser: Making Human-Mobile Web Interactions Energy Efficient with Event Rate Learning,”in:Proc. ofICDCS 2018(Research Track),Vienna, Austria, July 2-5, 2018. 523-533. (CCF B, 78 accepted papers out of 378 submitted full papers,acceptance ratio: ~20%.Project source codes are available on Github)
Fei Xu, Huan Jiang, Haoyue Zheng, Wujie Shao,“iSpot: Achieving Predictable Performance for Big Data Analytics with Cloud Transient Servers,” in:Proc. ofISPA 2017, Guangzhou, China, December 12-15, 2017. 314-321. (CCF C)
Jue Chen, Jinbang Chen*,Fei Xu*, Min Yin, Wei Zhang, “When Software Defined Networks Meet Fault Tolerance: A Survey,”in:Proc. ofICA3PP 2015,Zhangjiajie, China, November 18-20, 2015. 351-368. (CCF C)
Wangying Ye,Fei Xu*, Wei Zhang, “Achieving Application-Level Utility Max-min Fairness of Bandwidth Allocation in Datacenter Networks,” in:Proc. ofCollaborateCom 2015, Wuhan, China, November 10-11, 2015. 36-46. (CCF C)
Fei Xu, Fangming Liu, Dekang Zhu, Hai Jin, “Boosting MapReduce with Network-Aware Task Assignment,” in:Proc. of CloudComp 2013, Wuhan, China, October 17-19, 2013. 79-89.
Fei Xu, Hai Jin, Xiaofei Liao, Fei Qiu, “Enhancing the Reliability of SIP Service in Large-Scale P2P-SIP Networks,” in:Proc. of GPC 2011, Oulu, Finland, May 11-13, 2011. 52-61.

Patents and Software Copyrights:
徐飞,齐强. 一种基于网络带宽分配的分布式深度学习性能优化方法. 专利申请号4.7, 专利申请日期2020年9月8日.
徐飞,邵武杰. 一种基于延迟调度技术的大数据分析作业性能优化方法. 专利申请号5.X, 专利申请日期2020年7月14日.
徐飞,邵武杰. 一种基于延迟调度技术的大数据分析作业性能优化装置. 专利申请号1.X, 专利申请日期2020年7月14日.
徐飞, 蒋欢. 一种作业性能预测方法、装置、介质、设备及系统. 专利申请号7.3, 专利申请日期2018年05月10日.专利授权日2020年11月03日.
徐飞, 杨帅. 一种基于手势事件频率学习的手机浏览器功耗节约方法. 专利申请号6.7, 专利申请日期2018年02月02日. 专利授权日2020年10月09日.
金海, 刘方明, 徐飞, 刘凌辉. 多维度资源性能干扰感知的虚拟机在线迁移方法及系统. 专利申请号4.X, 专利申请日期2013年04月03日,专利授权日2016年04月20日.
金海, 刘方明, 徐飞, 刘凌辉. 多维度资源性能干扰感知的虚拟机在线迁移系统. 软著登字第**, 软件著作版权登记号2013SR093039, 登记时间2013年08月31日.
金海, 郭峰江, 廖小飞, 蒋洪磊, 徐飞, 钱力, 舒畅. 一种保证VoIP系统动态中转可靠性的方法. 专利申请号5.1, 专利申请日期2010年09月10日, 专利授权日2013年05月22日.
金海, 舒畅, 廖小飞, 蒋洪磊, 徐飞, 钱力, 郭峰江. 一种VoIP系统中的语音动态中转方法. 专利申请号6.4, 专利申请日期2010年09月10日, 专利授权日2012年11月14日.
金海, 舒畅, 廖小飞, 蒋洪磊, 徐飞, 钱力, 邱飞, 郭峰江. 一种VoIP系统中信令的传输方法. 专利申请号3.2, 专利申请日期2010年09月10日, 专利授权日2012年09月07日.

Open-Source Projects on Github: lambdaDNN;iSpot; eBrowser;DelayStage



荣誉及奖励


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