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苑海涛

领域:新一代信息技术产业 学校:北京交通大学职称:副教授

深度学习、大数据、云计算、软件定义网络、优化算法、面向航天复杂产品的云制造...

具体了解该专家信息,请致电:027-87555799 邮箱 haizhi@uipplus.com

教育背景

2012/09-2016/04,北京航空航天大学,自动化科学与电气工程学院,建模仿真理论与技术,工学博士
博士论文:“云数据中心中请求调度和资源分配方法的研究”
导师:李伯虎,教授,中国工程院院士
2015/09-2016/01,美国新泽西理工学院,电气与计算机工程系,访问博士生
2013/08-2014/02,香港城市大学,计算机科学系,注册在读博士生

导师:Prof.Xiaohua Jia, IEEE Fellow,国家千人计划,长江学者
2006/08-2012/06,东北大学,软件工程专业,学Цᯬ

工作经历

美国新泽西理工学院,电气与计算机工程系,访问学者,国家留学基金委全额资助 2016/05-至今,北京交通大学,软件学院,讲师、硕士生导师

项目课题经历


2019/01-2021/12,国家自然科学基金青年基金,“大数据驱动的深度时空敏感云工作流智能调度与资源优化方法”,27万,在研,主持
2017/06-2018/12,中国博士后科学基金特别资助,“基于SDN的非稳态混合计算资源动态分配与优化方法”,15万,在研,主持
2017/01-2018/04,中国博士后科学基金面上资助,“面向云数据中心时间敏感的混合请求调度与优化方法研究”,5万,在研,主持
2016/07-2018/07,北京交通大学人才基金,“面向混合云中时间可感知的请求调度方法研究”,10万 ,结题,主持
2015/09-2016/01,北京航空航天大学博士生短期出国访学基金,3.52万 ,主持
2011/06-2012/09,国家863计划项目,“面向航天复杂产品的集团企业云制造服务平台开发、系统构建及应用“,270万,参与
2011/01-2015/12,国防基础科研项目“基于SLA约束的云仿真支撑环境优化控制与调度方法研究”,30万,参与

论文、成果、著作等

1. Haitao Yuan, Jing Bi* and MengChu Zhou. Workload-Aware Revenue Maximization in SDN-Enabled Data Center. IEEE ACCESS, 2017. (SCI收录, 2015影响因子:3.244, 2015 JCR分区:Q2)

2. Haitao Yuan, Jing Bi, MengChu Zhou, and Ahmed Chiheb Ammari. Time-Aware Multi-Application Task Scheduling with Guaranteed Delay Constraints in Green Data Center. IEEE Transactions on Automation Science and Engineering (TASE), 2017. (SCI收录, 2015影响因子:3.502, 2015 JCR分区:Q1)

3. Jing Bi, Haitao Yuan*, and MengChu Zhou. A Petri Net Method for Compatibility Enforcement to Support Service Choreography. IEEE ACCESS, 2016. (SCI收录, 2015影响因子:3.244, 2015 JCR分区:Q2)

4. Haitao Yuan, Jing Bi, Wei Tan, MengChu Zhou, Bo Hu Li, and Jianqiang Li. TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds. IEEE Transactions on Cybernetics (TCYB), 2016. (SCI收录, 2015影响因子:7.384, 2015 JCR分区:Q1)(DOI:10.1109/TCYB.2016.2574766)

5. Haitao Yuan, Jing Bi, Wei Tan, and Bo Hu Li. CAWSAC: Cost-Aware Workload Scheduling and Admission Control for Distributed Cloud Data Centers. IEEE Transactions on Automation Science and Engineering (TASE), Vol. 13, No. 2, pp. 976-985, 2016. (SCI收录, 2015影响因子: 3.502, 2015 JCR分区:Q1)(DOI:10.1109/TASE.2015.2427234, WOS:000374442300049)

6. Haitao Yuan, Jing Bi, Wei Tan, and Bo Hu Li. Temporal Task Scheduling with Constrained Service Delay for Profit Maximization in Hybrid Cloud. IEEE Transactions on Automation Science and Engineering (TASE), Vol. 14, No. 1, pp. 337-348, 2017. (SCI收录, 2015影响因子: 3.502, 2015 JCR分区:Q1)(DOI:10.1109/TASE.2016.2526781)

7. Haitao Yuan, Jing Bi, Bo Hu Li, and Wei Tan. Cost-Aware Request Routing in Multi-Geography Cloud Data Centers Using Software-Defined Networking. Enterprise Information Systems (EIS), Vol. 11, No. 3, pp. 359-388, 2015. (SCI收录, 2015影响因子: 1.908, 2015 JCR分区:Q1)(DOI:10.1080/17517575.2015.1048833)

8. Haitao Yuan, Jing Bi, and Bo Hu Li. Workload-Aware Request Routing in Cloud Data Center Using Software-Defined Networking. Journal of Systems Engineering and Electronics (JSEE), Vol. 26, No. 1, 2015, pp.151-160. (SCI收录, 2014影响因子:0.529, 2014 JCR分区:Q4)(DOI:10.1109/JSEE.2015.00020) (WOS: 000351027100020)

9. Jing Bi, Haitao Yuan*, et al. Application-Aware Dynamic Fine-Grained Resource Provisioning for Virtualized Cloud Data Centers. IEEE Transactions on Automation Science and Engineering (TASE), 2015. (SCI收录, 2015影响因子: 3.502, 2015 JCR分区:Q1)(DOI: 10.1109/TASE.2015.2503325)

10. Jing Bi, Haitao Yuan*, Wei Tan, and Bo Hu Li. TRS: Temporal Request Scheduling with Bounded Delay Assurance in a Green Cloud Data Center. Information Sciences (INS), 2016. (SCI收录, 2015影响因子: 4.832, 2015 JCR分区:Q1)(DOI:10.1016/j.ins.2016.04.024,WOS:000377835100004)

11. Jing Bi, Haitao Yuan, Ming Tie, and Wei Tan. SLA-Based Optimisation of Virtualised Resource for Multi-tier Web Applications in Cloud Data Centres. Enterprise Information Systems (EIS), Vol. 9, No. 7, 2015, pp. 743-767. (SCI收录, 2015影响因子: 1.908, 2015 JCR分区:Q1)(DOI:10.1080/17517575.2013. 830342)(WOS:000353775200005)

12. Jing Bi, Haitao Yuan*, Ming Tie, and Xiao Song. Heuristic Virtual Machine Allocation for Multi-tier Ambient Assisted Living Applications in a Cloud Data Center. CHINA COMMUNICATIONS, Vol. 13, No. 5, 2016, pp. 56-65. (SCI收录,2015影响因子:0.903, 2015 JCR分区:Q4)(DOI:10.1109/CC.2016.7489974, WOS:000377976400007)

EI国际会议及核心期刊论文

1. Haitao Yuan, Jing Bi*, Jia Zhang, Wei Tan, andKeman Huang. Workload-Aware Revenue Maximization in SDN-Enabled Data Center. 10th IEEE International Conference on Cloud Computing, June 25-30, 2017, Honolulu, Hawaii, USA.

2. Haitao Yuan, Jing Bi*,and MengChu Zhou.Revenue-Sensitive Scheduling of Multi-Application Tasks in Software-Defined Cloud. 13th IEEE Conference on Automation Science and Engineering, August 20-23, 2017 Xi'an, China.

3.Haitao Yuan, Jing Bi, et al. Cost-Sensitive Task Routing and Resource Provisioning in Multi-Geography Clouds. 14th IEEE International Conference on Networking, Sensing and Control, May 16-18, 2017, Calabria, Southern Italy.

4.Jing Bi, Haitao Yuan, et al. Request Scheduling with Time Sensitivity for Energy-Efficient Cloud Data Centers. 14th IEEE International Conference on Networking, Sensing and Control, May 16-18, 2017, Calabria, Southern Italy

5.Haitao Yuan, Jing Bi, et al. Revenue-Aware Request Admission Control in Distributed Simulation Data Centers. 2016 International Simulation Multi-Conference (AsiaSim/SCS AutumnSim 2016), Beijing, China, 2016.

6. Hang Ji, Xiao Song, Xuejun Zhang, Jing Bi, Haitao Yuan. Internet Communication Engine (ICE) Based Simulation Framework (ISF). 2016 International Simulation Multi-Conference (AsiaSim/SCS AutumnSim 2016), Beijing, China, 2016

7. Haitao Yuan, et al. An Approach to Optimized Resource Allocation for Cloud Simulation Platform. The 14th Asia Simulation Conference & the 33rd JSST Annual Conference: International Conference on Simulation Technology (AsiaSim & JSST 2014), pp. 139-152, Kitakyushu, Japan, 2014. (DOI:10.1007/978 -3-662-45289-9_13)(EI)

8. Haitao Yuan, et al. SLA-based virtualized resource allocation for multi-tier web application in cloud simulation environment. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1681-1685, Hong Kong, 2012. (DOI:10.1109/IEEM.2012.6838033)(EI)

9. 朱志良, 苑海涛*, et al. SOA 与云计算:竞争还是融合. 计算机科学, 2011, 38(12), 6-11

10. 朱志良, 苑海涛*, et al. Web服务聚类方法的研究和改进. 小型微型计算机系统, 2010, 33(1), 96-101

11. Zhiliang Zhu, Haitao Yuan*, et al. WS-SCAN: An Effective Approach for Web Services Clustering. International Conference on Computer Application and System Modeling, pp. 618-622, 2010. (DOI:10.110 9/ICCASM.2010.5620332)(EI)

12. Jing Bi, Haitao Yuan, et al. Dynamic Fine-Grained Resource Provisioning for Heterogeneous Applications in Virtualized Cloud Data Center. 8th IEEE International Conference on Cloud Computing, pp. 429-436, New York, USA, 2015. (DOI:10.1109/CLOUD.2015.64)(EI)

13. Zhiliang Zhu, Jing Bi, Haitao Yuan, et al. SLA Based Dynamic Virtulization Resource Provisioning for Shared Cloud Data Centers. 4th IEEE International Conference on Cloud Computing, pp. 630-637, Washington DC, USA, 2011. (DOI:10.1109/CLOUD.2011.91)(EI)

14. Jing Bi, Zhiliang Zhu, Haitao Yuan, et al. A Petri Net Based Hybrid Optimal Controller for Deadlock Prevention in Web Service Composition. 9th IEEE International Conference on Web Services (ICWS), pp. 718-719, Washington DC, USA, 2011. (DOI:10.1109/ICWS.2011.90)(EI)

15. Jing Bi, Zhiliang Zhu, Haitao Yuan. SLA-Aware Dynamic Resource Provisioning for Profit Maximization in Shared Cloud Data Centers. ICHCC-ICTMF, Singapore, pp. 366-372, 2011. (DOI:10.1007/978-3-642-25 002-6_52)(EI)

专利、著作版权等

中国发明专利
1.苑海涛,毕敬,张立波,基于SDN的云数据中心负载可感知的请求路由方法,已受理
2.苑海涛,毕敬,一种分布式多云数据中心中基于收益的请求访问控制方法,申请专利号: CN201610456726.5, 公开号: CN106060145A
3.苑海涛,一种分布异地云数据中心下成本可感知的请求调度方法,申请专利号: CN201610497064.6, 公开号: CN106209990A

4. 苑海涛,一种混合云环境下时间可感知的请求调度方法,已受理
美国专利
1.Haitao Yuan, Ahmed Chiheb Ammari, MengChu Zhou, Jing Bi, Yusuf Turki, and Abdullah Abusorrah. TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds.
2.Haitao Yuan, Jing Bi, MengChu Zhou, Ahmed Chiheb Ammari, Yusuf Turki, Abdullah Abusorrah, and Khaled Sadraoui. Time-Aware Multi-Application Task Scheduling with Guaranteed Delay Constraints in Green Data Center.
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