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师资队伍

高永强教授
来源:计算机学院  发布时间: 2016-06-12 14:31:42

高永强,男,博士,教授,2013年毕业于上海交通大学计算机科学与工程系并获得工学博士学位,全国研究生教育评估监测专家库专家,内蒙古自治区科技专家库专家,中国国际“互联网+”大学生创新创业大赛全国总决赛评委专家, 蒙古文智能信息处理技术国家地方联合工程研究中心、生态大数据教育部工程研究中心、内蒙古自治区云计算与服务软件工程实验室的骨干成员,主要从事云计算、边缘计算、人工智能领域的研究与应用工作。近年来以第一作者身份,先后在《IEEE Transactions on Services Computing》(CCF-A类期刊)、《IEEE Internet of Things Journal》(SCI一区Top期刊)、《Journal of Systems Architecture》(CCF-B类期刊)、《Journal of Computer and System Sciences》(CCF-B类期刊)等国际期刊和ICSOCCCF-B类会议)、ICA3PPCCF-C类会议)、COMPSACCCF-C类会议)等国际会议上发表学术论文20余篇,授权发明专利4项。先后主持国家自然科学基金项目 2 项,内蒙古自然科学基金项目 2 项,内蒙古大学高层次人才引进科研启动项目1项。以核心研究人员或技术骨干身份参加国家863计划1项,973计划1项,国家自然科学基金2项,内蒙古自然科学基金重大项目2项,内蒙古自治区科技计划项目2项,IBM—SJTU联合研究项目2项,IBM共享大学研究项目1项,教育部英特尔信息技术专项科研基金1项。多次指导本科生参加各类信息技术竞赛,曾指导学生获得创青春全区大学生创新创业大赛特等奖、华北五省(市、自治区)及港澳台大学生计算机应用大赛二等奖。曾担任第十三届亚太网构软件研讨会(Internetware 2022)网站与财务主席。

Email: gaoyongqiang@imu.edu.cn

欢迎计算机科学与技术、软件工程、自动化、数学等专业的本科毕业生报考研究生。

主持科研项目:

  1. 云边协同计算环境下分布式深度强化学习赋能的工作流调度机制研究(62362054),国家自然科学基金项目,20241~202712月。

  2. 虚拟化云数据中心能耗和性能联合管理机制研究(61662052),国家自然科学基金项目,20171~202012月。

  3. 移动边缘计算环境中面向工作流的任务卸载、调度与迁移机制研究(2021MS06002),内蒙古自然科学基金项目,20211~202312月。

  4. 虚拟化云数据中心能耗管理关键技术研究(2015BS0602),内蒙古自然科学基金项目,20151~201712月。

  5. 绿色云数据中心关键技术研究(135136),内蒙古大学高层次人才引进科研启动项目,20141~201512月。

代表性论文:

  1. Yongqiang Gao, Lin Wang, Zhulong Xie, Zhengwei Qi, Jiantao Zhou. Energy- and Quality of Experience-Aware Dynamic Resource Allocation for Massively Multiplayer Online Games in Heterogeneous Cloud Computing Systems[J]. IEEE Transactions on Services Computing, 2023, 16(3):1793-1806. (CCF推荐A 类期刊)

  2. Yongqiang Gao, Chaoyu Zhang, Zhulong Xie, Zhengwei Qi, Jiantao Zhou. Cost-Efficient and Quality-of-Experience-Aware Player Request Scheduling and Rendering Server Allocation for Edge-Computing-Assisted Multiplayer Cloud Gaming[J]. IEEE Internet of Things Journal, 2022, 9 (14): 12029-12040. (SCI一区Top期刊)

  3. Yongqiang Gao, Haibing Guan, Zhengwei Qi, Yang Hou, Liang Liu. A Multi-objective Ant Colony System Algorithm for Virtual Machine Placement in Cloud Computing[J]. Journal of Computer and System Sciences, 2013, 79( 8):1230-1242. (CCF推荐B 类期刊,ESI高被引论文)

  4. Yongqiang Gao, Lin Wang, Zhulong Xie,Wenhui Guo and Jiantao Zhou. Energy-Efficient and Quality of Experience-Aware Resource Provisioning For Massively Multiplayer Online Games In the Cloud[C]. International Conference on Service Oriented Computing (ICSOC), 2018. (CCF推荐B类会议)

  5. Yongqiang Gao, Haibing Guan, Zhengwei Qi, Bin Wang, Liang Liu. Quality of Service Aware Power Management for Virtualized Data Centers[J]. Journal of Systems Architecture, 2013, 59(4–5): 245–259. ( CCF推荐B类期刊)

  6. Yongqiang Gao, Wenhui Guo, Chenyang Zhou. Quality of Service Aware Cost Optimization for Online Gaming Services in IaaS Clouds[C]. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2021. (CCF推荐C类会议)

  7. Yongqiang Gao, Zhihan Li. Deep Reinforcement Learning Based Rendering Service Placement for Cloud Gaming in Mobile Edge Computing Systems[C]. International Computer Software and Applications Conference (COMPSAC), 2023. (CCF推荐C类会议)

  8. Yongqiang Gao, Zhigang Wang, Zemin Li, Zhenkun Li. Task Migration Based on Deep Reinforcement Learning in Mobile Crowdsourcing[C]. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2022. (CCF推荐C类会议)

  9. Yongqiang Gao, Shunyi Feng, Zhenkun Li. A Distributed Cache Mechanism of HDFS to Improve Learning Performance for Deep Reinforcement Learning[C]. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2022. (CCF推荐C类会议)

  10. Yongqiang Gao, Jixiao Li. Location-aware Task Offloading in Mobile Edge Computing[C]. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2022. (CCF推荐C类会议)

  11. Yongqiang Gao, Zheng Xu. Improving Gaming Experience with Dynamic Service Placement in Mobile Edge Computing[C]. International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2022. (CCF推荐C类会议)

  12. Yongqiang Gao, Kaifeng Zhang. Deadline-aware Preemptive Job Scheduling in Hadoop YARN Clusters[C]. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2022. (CCF推荐C类会议)

  13. Yongqiang Gao, Zemin Li. Load Balancing Aware Task Offloading in Mobile Edge Computing[C]. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2022. (CCF推荐C类会议)

  14. Yongqiang Gao, Weili Liu. Multiple Workflows Offloading Based on Improved Deep Q-Network in Mobile Edge Computing[C]. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2022. (CCF推荐C类会议)

  15. Yongqiang Gao, Zhenkun Li. Energy and Delay-Aware Task Offloading and Resource Allocation in Mobile Edge Computing[C]. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2022. (CCF推荐C类会议)

  16. Yongqiang Gao, Yanping Wang. Multiple Workflows Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing[C]. International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2021. (CCF推荐C类会议)

  17. Yongqiang Gao, Xiaolei Liu. Location Aware Workflow Migration Based on Deep Reinforcement Learning in Mobile Edge Computing[C]. International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2021. (CCF推荐C类会议)

  18. Yongqiang Gao, Chong Huang. Energy-Efficient Scheduling of MapReduce Tasks Based on Load Balancing and Deadline Constraint in Heterogeneous Hadoop YARN Cluster[C]. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2021. (CCF推荐C类会议)

授权发明专利:

  1. 高永强,周建涛,一种利润感知的分布式数据中心负载管理方法,ZL201711291850.120207月。

  2. 高永强,用于异构云环境下在线游戏应用的虚拟机管理方法及系统,ZL202011421764.X20228月。

  3. 高永强,李泽民,一种移动边缘计算环境下的工作流任务卸载方法及系统,ZL202111422606.020238月。

  4. 高永强,一种用于移动边缘计算环境下的工作流任务迁移方法,ZL202011421763.520242月。

 




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