东方
发布人:东方  发布时间:2019-01-02   浏览次数:4153

个人简介

东方,博士,东南大学教授(研究员),博士生导师,江苏南京人。现任东南大学大数据中心主任,计算机科学与工程学院计算机工程系副主任。同时担任ACM南京分会共同主席、ACM SIGCOMM China及ACM中国理事会云计算专家委员会秘书长、江苏省计算机学会大数据专家委员会委员&云计算专委会委员。2004年6月和2006年6月分别毕业于南京理工大学计算机科学与技术学院,获得学士和硕士学位,2011年3月毕业于东南大学计算机科学与工程学院,获工学博士学位。博士毕业后留校任教,在江苏省“网络与信息安全”重点实验室从事教学科研工作,主要研究方向为云计算与大数据处理。作为项目负责人主持国家重点研发计划项目子课题1项、国家自然科学基金3项、江苏省产学研前瞻性联合研究项目1项,并作为核心成员参加完成国家自然科学基金重点项目、国家科技攻关计划等多项国家级项目。参加了丁肇中教授领导的AMS大型物理实验,建设完成东南大学云计算中心及东南大学AMS科学数据处理中心(AMS-02 SOC)。在IEEE Transaction on Service Computing、JSS、DPD、JCST、FGCS、ICPP、DASFAA、GlobeCom、CCGrid等国际国内核心期刊及学术会议上发表论文60余篇,并担任IEEE Transactions on Mobile ComputingIEEE Transactions on Systems, Man, and Cybernetics、Concurrency and Computation-Practice and Experience等多个SCI期刊的客座编辑及特邀审稿人,历届云计算与大数据国际会议(CBD 2013-2018 Program Co-Chair、Publication & Organization Co-Chair,全国高校云计算应用创新大赛组委会秘书长,申请发明专利13项(已授权6项)、软件著作权2项。

研究方向

边缘智能及其执行优化

虚拟化资源管理

数据中心网络

深度学习执行优化

图计算执行优化

面向工业互联网的智能云端协作

希望招募对云计算、大数据、边缘智能方向感兴趣的博士生和硕士生,欢迎希望从事相关领域研究工作的同学发送个人简历到我的邮箱(fdong@seu.edu.cn)。


在研项目

1.国家重点研发计划项目“面向工业互联网的智能云端协作关键技术及系统”(2017YFB1003000)子课题,103.5万,2017年10月-2021年10月。子课题负责人

2. 国家自然科学基金面上项目“面向深度学习应用的边缘计算执行框架与优化机制研究”(61872079),64万(直接经费),2019年1月-2022年12月。项目负责人。

3. 国家自然科学基金面上项目“云环境下面向大规模图数据处理的资源优化机制研究”(61572129),64万(直接经费),2016年1月-2019年12月。项目负责人。

4. 国家自然基金重点项目“工业互联网体系结构及关键技术研究”(61632008),285万(直接经费),2017年1月-2021年12月。主要参与人员。


部分发表论文

1. Fang Dong, Xiaoling Guo, Pengcheng Zhou, Dian Shen. Task-aware Flow Scheduling with Heterogeneous Utility Characteristics for Data Center Networks. Tsinghua Science and Technology, 2019, 24(4): 400-411..
2. Feng Shan, Junzhou Luo, Weiwei Wu, Fang Dong, Xiaojun Shen. Throughput Maximization for Wireless Powered Communication in Green Cities. IEEE Transactions on Industrial Informatics, 14(6): 2560-2569, 2018.
3. Jiyuan Shi, Junzhou Luo, Fang Dong, et al. Fast multi-resource allocation with patterns in large scale cloud data center[J]. Journal of Computational Sience, 2018, 26: 389-401.
4. Yunhao Li, Junzhou Luo, Jiahui Jin, Runqun Xiong, Fang Dong. An Effective Model for Edge-Side Collaborative Storage in Data-Intensive Edge Computing. 22nd IEEE International Conference on Computer Supported Cooperative Work in Design. 2018. (CCF C类会议)
5. Fang Dong, Junzhou Luo, Jiahui Jin, Jiyuan Shi, Ye Yang, Jun Shen. Accelerating skycube computation with partial and parallel processing for service selection. IEEE Transactions on Services Computing, 10.1109/TSC.2017.2762681, 2017. (CCF B类期刊)
6. Fang Dong, Pengcheng Zhou, Zijian Liu, Dian Shen, Zhuqing Xu, Junzhou Luo. Towards a Fast and Secure Design for Enterprise-oriented Cloud Storage Systems. Concurrency and Computation: Practice &. Experience, 29(19): e4177, 2017. (CCF C类期刊)
7. Fang Dong, Junxue Zhang, Junzhou Luo, Dian Shen and Jiahui Jin. Enabling Application-aware Flexible Graph Partition Mechanism for Parallel Graph Processing Systems. Concurrency and Computation: Practice &. Experience, 29(6): e3849, 2017. (CCF C类期刊)
8. Huanhuan Zhang, Fang Dong, Dian Shen, Runqun Xiong, Jiahui Jin. Virtual network fault diagnosis mechanism based on fault injection. The 21th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017), 2017: 384-389. (CCF C类会议)
9. Zhuqing Xu, Fang Dong, Jiahui Jin, Junzhou Luo, Jun Shen. GScheduler: Optimizing Resource Provision by using GPU Usage Pattern Extraction in Cloud Environment. 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC 2017), 2017: 3225-3230.
10. Dian Shen, Junzhou Luo, Fang Dong, Junxue Zhang. AppBag: Application-aware Bandwidth Allocation for Virtual Machines in Cloud Environment. 2016 The International Conference on Parallel Processing (ICPP 2016), 2016:21-30. (CCF B类会议)
11. Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang, Junxue Zhang. Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints. Cluster Computing 19(1): 167-182 (2016). (CCF C类期刊)
12. Jiyuan Shi, Fang Dong, Jinghui Zhang, Jiahui Jin and Junzhou Luo. Resource Provisioning Optimization for Service Hosting on Cloud Platform. The 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016), 2016:614-619. (CCF C类会议)
13. Zijian Liu, Fang Dong, Junxue Zhang, Pengcheng Zhou, Zhuqing Xu, Junzhou Luo. A Front-end Directory Prefetching Mechanism for GlusterFS. 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), 2016:3942-3947.
14. Dian Shen, Junzhou Luo, Fang Dong, Xiang Fei, et al. Stochastic Modeling of Dynamic Right-sizing for Energy-efficiency in Cloud Data Centers. Future Generation Computer Systems, 2015, 48: 82-95. (CCF C类期刊)
15. Runqun Xiong, Junzhou Luo, Fang Dong. Optimizing Data Placement in Heterogeneous Hadoop Clusters. Cluster Computing, 2015, 18(4):1465-1480. (CCF C类期刊)
16. Jinghui Zhang, Mingjun Wang, Junzhou Luo, Fang Dong and Junxue Zhang. Towards Optimized Scheduling for Data-intensive Scientific Workflow in Multiple Datacenter Environment. Concurrency and Computation: Practice &. Experience, 2015, 27:5606–5622. (CCF C类期刊)
17. Jinghui Zhang, Junzhou Luo, Fang Dong. Scientific Workflow Scheduling in Non-dedicated Heterogeneous Multicluster with Advance Reservations. Integrated Computer-Aided Engineering, 2015, 22(3):261-280.(SCI、EI检索)
18. Ye Yang, Fang Dong, Junzhou Luo. Computing Service Skyeube for Web Service Selection. The 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2015), 2015:614-619. (CCF C类会议)
19. Jiyuan Shi, Fang Dong, Jiahui Jin, Junzhou Luo and Ding Ding. Two-phase Online Virtual Machine Placement in Heterogeneous Cloud Data Center. 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), 2015.
20. Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong. A Sampling-based Hybrid Approximate Query Processing System in the Cloud. The 43th International Conference on Parallel Processing (ICPP 2014), 2014: 291-300. (CCF B类会议)
21. Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong. OATS: Online Aggregation with Two-level Sharing Strategy in Cloud. Distributed and Parallel Databases, 2014, 32(4): 467-505.(CCF C类期刊)
22. Dian Shen, Fang Dong, Junxue Zhang and Junzhou Luo. Cost-effective Virtual Machine Image Replication Management for Cloud Data Centers. The 16th IEEE International Conference on High Performance Computing and Communications (HPCC 2014), 2014:229-236. (CCF C类会议)
23. Jiyuan Shi, Junzhou Luo, Fang Dong, et al. A budget and deadline aware scientific workflow resource provisioning and scheduling mechanism for cloud. The 18th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2014), 2014: 672-677. (CCF C类会议)
24.Fang Dong, Junzhou Luo, Bo Liu. A Performance Fluctuation-Aware Stochastic Scheduling Mechanism for Workflow Applications in Cloud Environment. IEICE Transactions on Information and Systems, Vol.E97-D, No.10, October 2014, 2641-2651.(SCI、EI检索)
25. Junxue Zhang, Fang Dong, Dian Shen, Junzhou Luo. Game Theory based Dynamic Resource Allocation for Hybrid Environment with Cloud and Big Data Application. The 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014), 2014:1128-1133.
26. Jinghui Zhang, JunzhouLuo, Fang Dong. Scheduling of scientific workflow in non-dedicated heterogeneous multicluster platform. Journal of Systems and Software. 2013, 86(7):1806-1818. (CCF B类期刊)
27. Yuxiang Wang, Junzhou Luo, Aibo Song and Fang Dong. Partition-based Online Aggregation with Shared Sampling in Cloud. Journal of Computer Science and Technology, 2013, 28(6): 989-1011. (CCF B类期刊)
28. Jinghui Zhang, Junzhou Luo, Fang Dong. Scheduling Parallel Task Graphs on non-dedicated heterogeneous multicluster platform with Moldable Task Duplication. CSCWD 2013: 313-318. (CCF C类会议)
29. Miao Chen, Fang Dong, Junzhou Luo. Dynamic Resource Management in a HPC and Cloud Hybrid Environment. The13th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2013), Part I, LNCS 8285, pp. 206–215, 2013. (CCF C类会议)
30. Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen. A Personalized Hybrid Recommendation System Oriented to E-Commerce Mass Data in the Cloud. The 2013 IEEE International Conference on Systems, Man, and Cybernetics(SMC 2013), 2013:1020-1025.
31. Yuxiang Wang, Junzhou Luo, Aibo Song, Jiahui Jin, and Fang Dong. Improving Online Aggregation Performance for Skewed Data Distribution. The 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012), 2012:18-32. (CCF B类会议)
32. Fang Dong, Junzhou Luo, Jiahui Jin, Yanhao Wang and Yanmin Zhu. Performance Evaluation and Analysis of SEU Cloud Computing Platform--Using General Benchmarks and Real World AMS Application. The 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2012), 2012:1455-1460.
33. Fang Dong, Junzhou Luo, Aibo Song, Jiuxin Cao, Jun Shen. An Effective Data Aggregation based Adaptive Long Term CPU Load Prediction Mechanism on Computational Grid. Future Generation Computer Systems, 2012, 28: 1030-1044.(CCF C类期刊)
34. Jiahui Jin, Junzhou Luo, Aibo Song, Fang Dong and Runqun Xiong. BAR: An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing. The 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2011), 2011: 295-304. (CCF C类会议)
35. Fang Dong, Junzhou Luo, Aibo Song, Jiuxin Cao. Load-aware based Adaptive Rescheduling Mechanism for Workflow Application. The 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2011), 2011: 400-407. (CCF C类会议)
36. 罗军舟, 金嘉晖, 宋爱波, 东方. 云计算:体系架构与关键技术. 通信学报, 2011(7): 3-21.

专利授权与受理

1.  沈典,东方,罗军舟,周鹏程. 一种虚拟化环境下任务类型感知的流队列自适应管理方法,国家发明专利,受理时间:2019.1,受理号:201910007824.4.

2.  沈典,东方,罗军舟,王凯. 一种数据中心中RDMA应用传输参数自适应选择方法,国家发明专利,受理时间:2019.1,受理号:201910008291.1.

3. 东方,周经亚,罗军舟. 一种基于DHT机制的云存储系统的资源动态分配方法,国家发明专利,授权时间:2017.7,授权号:201410326861.9.

4. 东方,陈苗,罗军舟,孟宪栋. 高性能计算和云计算混合环境中的动态资源管理方法,国家发明专利,授权时间:2017.5,授权号:201410410274.8.

5. 东方,师晓敏,罗军舟,查付政,徐祝庆,吉祥. 一种面向GPU集群环境的避免GPU资源征用的方法,国家发明专利,受理时间:2017.12,受理号:201711326972.X.

6. 东方,师晓敏,罗军舟,王睿. 网络功能虚拟化环境中实现网元级并行化服务功能的方法,受理时间:2017.12,受理号:201711292739.4.

7. 东方,罗军舟,张毅,王宇翔,徐晓冬. 大数据环境下的流式数据处理方法,国家发明专利,授权时间:2016.6,授权号:201310287554.X.

8. 东方,罗军舟,沈典. 一种用于云计算环境中防范旁路攻击虚拟机的方法,国家发明专利,受权时间:2015.4,授权号:201210356355.5.

9. 东方,罗军舟,金嘉晖. 基于网络带宽估计的云计算任务调度方法,国家发明专利,授权时间:2014.12,授权号:201210205574.3.

10. 东方,罗军舟,王巍,黄彬彬.一种基于动态定价策略的多数据中心成本优化方法,国家发明专利,受理时间:2013.10,受理号:201310519850.8.

11. 东方,罗军舟,施洵,朱夏,徐晓冬. 电子商务环境下基于云计算处理模式的个性化推荐方法,受理号:201310287555.4.

12. 熊润群,罗军舟,东方,金嘉晖. 一种云数据中心大规模异构集群节点快速定量分级方法,国家发明专利,受理时间:2016.9,授理号:201610809567.2.

13. 罗军舟, 曹玖新, 朱夏, 田田, 东方, 郑啸. 基于内容复制的资源负载平衡方法,国家发明专利,授权号:ZL200810156156.3,证书号:第746555号.


授课教学

面向对象程序设计(本科)


1. Chapter 9 Classes: A Deeper Look, Part 1: Cpp-Ch09.ppt                                      实验文档:实验1(第9章).docx

2. Chapter 10 Classes: A Deeper Look, Part 2: Cpp-Ch10.ppt                                   实验文档:实验2(第10章).doc

3. Chapter 11 Operator Overloading; String and Array Objects: Cpp-Ch11.ppt         实验文档:实验3(第11章).doc

4. Chapter 12 Object-Oriented Programming: Inheritance: Cpp-Ch12.ppt                 实验文档:实验4(第12章).docx

5. Chapter 13 Object-Oriented Programming: Polymorphism:  Cpp-Ch13.ppt           实验文档:实验5(第13章).pdf

6. Chapter 14 Templates: Cpp-Ch14.ppt                                                                      实验文档:实验6(第14章).doc

7. Chapter 16 Exception Handling: Cpp-Ch16.ppt                                                      实验文档:实验7(第16章).doc

8. Chapter 17 File Processing: Cpp-Ch17.ppt                                                              实验文档:实验8(第17章).doc



云计算技术及应用(研究生)


1. 云计算关键技术与挑战

2. 虚拟化技术概论

3. 云操作系统-Openstack

4. 云存储关键技术与实践

5. MapReduce及Hadoop平台介绍

6. 高性能计算及MPI介绍

7. 分布式大数据处理的平台框架和关键技术