桃花岛彩票软件|如何制作彩票软件|

東方

發布者:東方發布時間:2019-01-02瀏覽次數:7642

個人簡介

東方,博士,東南大學教授(研究員),博士生導師,江蘇南京人。現任東南大學大數據中心主任,澳門新葡新京計算機工程系副主任。同時擔任ACM南京分會共同主席、ACM SIGCOMM China及ACM中國理事會云計算專家委員會秘書長、江蘇省計算機學會大數據專家委員會委員&云計算專委會委員。2004年6月和2006年6月分別畢業于南京理工大學計算機科學與技術學院,獲得學士和碩士學位,2011年3月畢業于東南大學澳門新葡新京,獲工學博士學位。博士畢業后留校任教,在江蘇省“網絡與信息安全”重點實驗室從事教學科研工作,主要研究方向為云計算與大數據處理。作為項目負責人主持科技創新2030重大專項及國家重點研發計劃項目課題1項子課題1項、國家自然科學基金3項、江蘇省產學研前瞻性聯合研究項目1項,并作為核心成員參加完成國家自然科學基金重點項目、國家科技攻關計劃等多項國家級項目。參加了丁肇中教授領導的AMS大型物理實驗,建設完成東南大學云計算中心及東南大學AMS科學數據處理中心(AMS-02 SOC)。在IEEE TSC、IEEE TII、WWWJ、Infocom、ICPP、DASFAA、GlobeCom、ICPADS等國際國內核心期刊及學術會議上發表論文60余篇,并長期擔任IEEE TMC、TSC、TII、TSMC、TCC、TASE、WWWJ、CCPE、《計算機學報》等重要期刊的客座編輯及特邀審稿人,歷屆云計算與大數據國際會議(CBD 2013-2020 Program Co-Chair、Publication & Organization Co-Chair,全國高校云計算應用創新大賽組委會秘書長,申請發明專利16項(已授權6項)、軟件著作權2項。


研究方向

邊緣計算與邊緣智能

虛擬化資源管理

數據中心網絡

深度學習執行優化

向工業互聯網的智能云端協作

希望招募對云計算、大數據、邊緣計算與邊緣智能方向感興趣的博士生和碩士生,歡迎希望從事相關領域研究工作的同學發送個人簡歷到我的郵箱([email protected])。


在研項目

1. 科技創新2030-“新一代人工智能”重大項目“元模型驅動的開放環境自適應感知”(2018AAA0100500)課題,164萬,2019年12月-2022年11月。課題負責人。

2. 國家重點研發計劃項目“面向工業互聯網的智能云端協作關鍵技術及系統”(2017YFB1003000)子課題,103.5萬,2017年10月-2021年10月。子課題負責人

3. 國家自然科學基金面上項目“面向深度學習應用的邊緣計算執行框架與優化機制研究”(61872079),64萬(直接經費),2019年1月-2022年12月。項目負責人。

4. 國家自然基金重點項目“工業互聯網體系結構及關鍵技術研究”(61632008),285萬(直接經費),2017年1月-2021年12月。主要參與人員。


部分發表論文

- Dian Shen, Junzhou Luo, Fang Dong, Xiaolin Guo, Kai Wang, John Lui. Distributed and Optimal RDMA Resource Scheduling in Shared Data Center Networks, Infocom 2020, Accpet. (CCF A類會議)

- Zhuqing Xu, Junzhou Luo, Zhimeng Yin, Tian He and Fang Dong. S-MAC: Achieving High Scalability via Adaptive Scheduling in LPWAN, Infocom 2020, Accept. (CCF A類會議)

- Jiahui Jin, Junzhou Luo, Samamon Khemmarat, Fang Dong and Lixin Gao. GStar: an efficient framework for answering top-k star queries on billion-node knowledge graphs[J]. World Wide Web: Internet and Web Information Systems (WWWJ), 2019, 22(4): 1611-1638 (CCF B類期刊)

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.

- Dian Shen, Junzhou Luo, Fang Dong, et al. VirtCo: joint coflow scheduling and virtual machine placement in cloud data centers[J]. Tsinghua Science and Technology, 2019, 24(5): 630-644.

- Huitian Wang, Guangxing Cai, Zhaowu Huang, Fang Dong. ADDA: Adaptive Distributed DNN Inference Acceleration in Edge Computing Environment. The 25th International Conference on Parallel and Distributed Systems (ICPADS 2019),438-445. (CCF C類會議)

- Rui Wang, Junzhou Luo, Fang Dong, et al. ParaNF: Enabling Delay-Balanced Network Function Parallelism in NFV[C]. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2019: 392-397. (CCF C類會議)

- Zhaoyi Yang, Fang Dong. Model-Aware Parallelization Strategy for Deep Neural Networks' Distributed Training[C]. 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2019: 61-66.

- 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.

- 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.

- 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類會議)

- 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類期刊)

- 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類期刊)

- 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類期刊)

- 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類會議)

- 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. (CCF C類會議)

- 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類會議)

- 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類期刊)

- 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類會議)

- 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. (CCF C類會議)

- 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類期刊)

- Runqun Xiong, Junzhou Luo, Fang Dong. Optimizing Data Placement in Heterogeneous Hadoop Clusters. Cluster Computing, 2015, 18(4):1465-1480. (CCF C類期刊)

- 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類期刊)

- 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.

- 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類會議)

- 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. (CCF C類會議)

- 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類會議)

- 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類期刊)

- 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類會議)

- 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類會議)

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.

- 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. (CCF C類會議)

- 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類期刊)

- 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類期刊)

- 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類會議)

- 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類會議)

- 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. (CCF C類會議)

- 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類會議)

- 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. (CCF C類會議)

- 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類期刊)

- 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類會議)

- 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類會議)

羅軍舟, 金嘉暉, 宋愛波, 東方. 云計算:體系架構與關鍵技術. 通信學報, 2011(7): 3-21.

專利授權與受理

1. 東方黃兆武,沈典. 一種用于邊緣計算環境中面向深度學習應用的任務卸載方法, 國家發明專利,受理時間:2019.6.18,申請號:201910525863.3

2. 東方,沈典,張歡歡,王士琦,羅軍舟. 一種基于強化學習的虛擬化網絡故障診斷模型構建方法, 國家發明專利,受理時間:2019.7.17,申請號:201911644115.7

3. 熊潤群,李修陽,單馮,羅軍舟,東方. 一種無線傳感網數據采集中基于實際模型的無人機最優速度調度方法. 中國發明專利,受理時間:2019.5.28,申請號:201910451515.6

4. 沈典,東方,羅軍舟,周鵬程. 一種虛擬化環境下任務類型感知的流隊列自適應管理方法,國家發明專利,受理時間:2019.1,受理號:201910007824.4.

5. 沈典,東方,羅軍舟,王凱. 一種數據中心中RDMA應用傳輸參數自適應選擇方法,國家發明專利,受理時間:2019.1,受理號:201910008291.1.

6. 東方,周經亞,羅軍舟. 一種基于DHT機制的云存儲系統的資源動態分配方法,國家發明專利,授權時間:2017.7,授權號:201410326861.9.

7. 東方,陳苗,羅軍舟,孟憲棟. 高性能計算和云計算混合環境中的動態資源管理方法,國家發明專利,授權時間:2017.5,授權號:201410410274.8.

8. 東方,師曉敏,羅軍舟,查付政,徐祝慶,吉祥. 一種面向GPU集群環境的避免GPU資源征用的方法,國家發明專利,受理時間:2017.12,受理號:201711326972.X.

9. 東方,師曉敏,羅軍舟,王睿. 網絡功能虛擬化環境中實現網元級并行化服務功能的方法,國家發明專利,受理時間:2017.12,受理號:201711292739.4.

10. 東方,羅軍舟,張毅,王宇翔,徐曉冬. 大數據環境下的流式數據處理方法,國家發明專利,授權時間:2016.6,授權號:201310287554.X.

11. 東方,羅軍舟,沈典. 一種用于云計算環境中防范旁路攻擊虛擬機的方法,國家發明專利,受權時間:2015.4,授權號:201210356355.5.

12. 東方,羅軍舟,金嘉暉. 基于網絡帶寬估計的云計算任務調度方法,國家發明專利,授權時間:2014.12,授權號:201210205574.3.

13. 東方,羅軍舟,王巍,黃彬彬.一種基于動態定價策略的多數據中心成本優化方法,國家發明專利,受理時間:2013.10,受理號:201310519850.8.

14. 東方,羅軍舟,施洵,朱夏,徐曉冬. 電子商務環境下基于云計算處理模式的個性化推薦方法,國家發明專利,受理號:201310287555.4.

15. 熊潤群,羅軍舟,東方,金嘉暉. 一種云數據中心大規模異構集群節點快速定量分級方法,國家發明專利,受理時間:2016.9,授理號:201610809567.2.

16. 羅軍舟, 曹玖新, 朱夏, 田田, 東方, 鄭嘯. 基于內容復制的資源負載平衡方法,國家發明專利,授權號:ZL200810156156.3,證書號:第746555號.


授課教學

面向對象程序設計(本科)


1. Chapter 9 Classes: A Deeper Look, Part 1: Cpp-Ch09.ppt                                      實驗文檔:實驗1(第9章).docx

2. Chapter 10 Classes: A Deeper Look, Part 2: Cpp-Ch10.ppt                                   實驗文檔:實驗2(第10章).doc

3. Chapter 11 Operator Overloading; String and Array Objects: Cpp-Ch11.ppt         實驗文檔:實驗3(第11章).doc

4. Chapter 12 Object-Oriented Programming: Inheritance: Cpp-Ch12.ppt                 實驗文檔:實驗4(第12章).docx

5. Chapter 13 Object-Oriented Programming: Polymorphism:  Cpp-Ch13.ppt           實驗文檔:實驗5(第13章).pdf

6. Chapter 14 Templates: Cpp-Ch14.ppt                                                                      實驗文檔:實驗6(第14章).doc

7. Chapter 16 Exception Handling: Cpp-Ch16.ppt                                                      實驗文檔:實驗7(第16章).doc

8. Chapter 17 File Processing: Cpp-Ch17.ppt                                                              實驗文檔:實驗8(第17章).doc



云計算技術及應用(研究生)


1. 云計算關鍵技術與挑戰

2. 虛擬化技術概論

3. 云操作系統-Openstack

4. 云存儲關鍵技術與實踐

5. MapReduce及Hadoop平臺介紹

6. 高性能計算及MPI介紹

7. 分布式大數據處理的平臺框架和關鍵技術




Baidu
sogou
桃花岛彩票软件
中彩票变穷 腾讯代理最赚钱网游 九乐棋牌游戏下载 快乐扑克 广西快乐十分走势图门户网 中彩河北十一选五走势图 福利彩票中奖条件图 可以赢现金的麻将游戏 广东36选7走势图走图 重庆幸运农场推荐