周舟,工学博士，副教授，2017年6月获得中南大学博士学位。2018年起在湖南大学从事博士后研究工作。研究方向涉及云计算，边缘计算，并行与分布式计算等。主持省部级科研项目4项（包括湖南省自然科学基金，中国博士后科学基金，湖南省教育厅优秀青年项目），以第一作者《IEEE Transactions on Industrial Informatics》,《IEEE Transactions on Green Communications and Networking》，《IEEE Transactions on Sustainable Computing 》《ACM Transactions on Asian and Low-Resource Language Information Processing》, 《Future Generation Computer Systems》等期刊上发表SCI检索论文21篇，申请/获得授权的国家发明专利10项，出版个人专著1本，主编省级规划教材2部。同时担任IEEE-TSC、IEEE-TCC、IEEE-TII、CCPE，FGCS,Neural Computing and Applications, Journal of Supercomputing, Journal of Cluster Computing, IEEE Systems Journal等国际期刊审稿人。

电子邮件：zhzhou@ccsu.edu.cn

研究方向：并行分布式计算、绿色计算、体系结构

联系地址：欧洲杯正规下单平台致远楼

所属机构：软件工程系 

期刊论文：

1.        Zhou Zhou, Jemal Abawajy, Mohammad Shojafar,  and Morshed Chowdhury. DEHM: An Improved Differential Evolution Algorithm using Hierarchical Multi-strategy in a Cybertwin 6G Network [J]. IEEE Transactions on Industrial Informatics, 2022, 18(7)：4944-4953. DOI: 10.1109/TII.2022.3140854. ( IF=10.215, JCR和中科院一区Top)

2.        Zhou Zhou, Mohammad Shojafar,  Mamoun Alazab, and Fangmin Li. IECL: An Intelligence Energy Consumption Model for Cloud Manufacturing [J]. IEEE Transactions on Industrial Informatics, 2022：1-10. DOI: 10. 1109/TII. 2022.3165085( IF=10.215, JCR和中科院一区Top)

3.        Zhou Zhou, Mohammad Shojafar, Ruidong Li, and Rahim Tafazolli. EVCT: An efficient VM deployment algorithm for a software-defined data center in a connected and autonomous vehicle environment [J]. IEEE Transactions on Green Communications and Networking, 2022: 1-11. doi:10.1109/TGCN.2022.3161423. (SCI)

4.        Zhou Zhou, Mohammad Shojafar, Jemal Abawajy, Hui Yin, Hongming Lu. ECMS: An Edge Intelligent Energy Efficient Model in Mobile Edge Computing [J]. IEEE Transactions on Green Communications and Networking, 2022, 6(1): 238-247. doi:10.1109/TGCN.2021.3121961. (SCI)

5.        Zhou Zhou, Li Kenli, Jemal Abawajy, Shojafar Mohammad, Morshed Chowdhury, Li Fangmin and Li Keqin. An Adaptive Energy-aware Stochastic Task Execution Algorithm in Virtualized Networked Datacenters [J]. IEEE Transactions on Sustainable Computing, 2021: 1-15. doi: 10.1109/TSUSC.2021.3115388. (SCI)

6.        Zhou Zhou, Mohammad Shojafar,  Jemal Abawajy and  Ali Kashif Bashir. IADE: An Improved Differential Evolution Algorithm to Preserve Sustainability in a 6G Network [J]. IEEE Transactions on Green Communications and Networking, 2021, 5(4): 1747-1760. doi: 10.1109/TGCN.2021.3111909. (SCI)

7.        Zhou Zhou, Mohammad Shojafar, Mamoun Alazab, Jemal Abawajy and Fangmin Li. AFED-EF: An Energy-efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center [J]. IEEE Transactions on Green Communications and Networking, 2021, 5(2): 658-669. doi: 10.1109/TGCN.2021.3067309. (SCI)

8.        Zhou Zhou, Fangmin Li, and Shuiqiao Yang. A novel resource optimization algorithm based on clustering and improved differential evolution strategy under a cloud environment [J]. ACM Transactions on Asian and Low-Resource Language Information Processing, 2021, 20(5): 1-15. doi: 10.1145/3462761. (SCI)

9.        Zhou Zhou, Li Fangmin, Zhu Huaxi, Xie Houliang, Jemal Abawajy, Morshed Chowdhury. An improved genetic algorithm using greedy strategy toward task scheduling optimization in cloud environments [J]. Neural Computing & Applications, 2020, 32(6): 1531-1541. DOI: 10.1007/s00521-019-04119-7. (SCI).

10.    Zhou Zhou, Jemal Abawajy, Morshed Chowdhury, Hu Zhigang, Li Keqin, et al. Minimizing SLA Violation and Power Consumption in Cloud Data Centers Using Adaptive Energy-aware Algorithms [J]. Future Generation Computer Systems (FGCS), 2018, 86(6): 836-850. DOI:10.1016/j.future.2017.07.048. (SCI).

11.    Zhou Zhou, Yu Junyang, Li Fangmin, et al. Virtual machine migration algorithm for energy efficiency optimization in cloud computing [J]. Concurrency and Computation: Practice and Experience, 2018, 30(24): 1-10. DOI: 10.1002/cpe.4942. (SCI).

12.    Zhou Zhou, Chang Jian, Hu Zhigang, Yu Junyang, Li Fangmin. A modified PSO algorithm for task scheduling optimization in cloud computing [J]. Concurrency and Computation: Practice and Experience, 2018. 30(24): 50-61. DOI: 10.1002/cpe.4970. (SCI).

13.    Zhou Zhou, Wang Hongmin, Shao Huailing, Dong Lifeng, Yu Junyang. A high-performance scheduling algorithm using greedy strategy toward quality of service in the cloud environments [J]. Peer-to-Peer Networking and Applications, 2020. DOI:10.1007/s12083-020-00888-4. (SCI).

14.    Zhou Zhou, et al. Improved community structure discovery algorithm based on combined clique percolation method and K-means algorithm[J]. Peer-to-Peer Networking and Applications, 2020.  DOI: 10.1007/s12083-020-00902-9. (SCI).

15.    Zhou Zhou, Hu Zhigang, Li Keqin. Virtual Machine Placement Algorithm for Both Energy-awareness and SLA Violation Reduction in Cloud Data Centers[J]. Scientific Programming，2016, 16(1):1-11. DOI: 10.1155/2016/5612039. (SCI).

16.    Zhou Zhou, Hu Zhigang, Yu Junyang, Jemal Abawajy, Morshed Chowdhury.   Energy-efficient virtual machine consolidation algorithm in cloud data centers [J]. Journal of Central South University, 2017, 24(10): 2331–2341. DOI: 10.1007/s11771-017-3645-z. (SCI).

17.    Zhou Zhou, Li Fangmin, Jemal Abawajy and Caocao Gao. Improved PSO   Algorithm Integrated With Opposition-Based Learning and Tentative Perception in Networked Data Centres [J]. IEEE Access, 2020, 8(1): 55872-55880. DOI: 10.1109/ACCESS.2020.2981972. (SCI).

18.    Zhou Zhou, Xie Houliang, Li Fangmin. A novel task scheduling algorithm integrated with priority and greedy strategy in cloud computing [J]. Journal of Intelligent & Fuzzy Systems, 2019, 37 (4): 4647-4655. DOI: 10.3233/JIFS-179299. (SCI).

19.    Zhou Zhou, et al. Improved community structure discovery algorithm based on penalised matrix decomposition for complex networks [J]. Microprocessors and Microsystems, 2020. (SCI).

20.     Zhou Zhou, Jemal Abawajy, Li Fangmin, Hu Zhigang, Li Keqin, et al. Fine-grained Energy Consumption Model of Servers Based on Task Characteristics in Cloud Data Center[J]. IEEE Access, 2018, 6(1): 27080-27090. DOI:10.1109/ACCESS.2017.2732458. (SCI).

21.    Zhou Zhou, Hu Zhigang, Song Tie and Yu Junyang. A novel virtual machine deployment algorithm with energy efficiency in cloud computing [J]. Journal of Central South University, 2015, 22(3):974-983. DOI: 10.1007/s11771-015-2608-5. (SCI).

科研和教改项目：

1. 湖南省自然科学基金青年项目，2019JJ50689, 云平台弹性计算及全局优化节能策略，2019/01.1-2020/12,  已结题，主持。

2. 湖南省教育厅优秀青年项目， 21B0779,  数据中心基于图理论的高效虚拟机部署算法研究,   2022/01-2024/12, 研究中，主持。

3. 湖南省教育厅优秀青年项目， 18B412, 云平台弹性计算及虚拟机聚合算法研究，   2019/01-2021/12, 已结题，主持。

4. 中国博士后科学基金项目，2018M642974, 云平台弹性计算及虚拟机合并算法研究,  全国博士后管理委员会，  2019/01-2020/12,已结题，主持。

5.  长沙市科技局计划项目, k1705036, 云计算环境中基于任务特征的能耗模型及节能算法研究, 长沙市科技局, 2018/01-2019/12,已结题，主持。

获得授权的国家发明专利

1. 周舟，李方敏等. 一种基于随机任务的数据中心节能优化方法及系统. 发明专利， 201910542580.X.

2. 周舟，李方敏等. 一种融入反向学习和试探感知的粒子群优化方法及系统.发明专利， 201910542575.9.

3. 周舟，李方敏等. 一种多目标任务调度方法及系统.发明专利，201910645478.2.

出版教材或专著：

1. 周舟. 云环境下能耗优化及管理技术, 湖南大学出版社，专著，2018 (书号：978-7-5667-1626-2).

2. 周舟，许劲， 周新媛. 计算思维与案例驱动的大学计算机应用教程[M].北京邮电大学出版社， 2021.

3. 周新媛,许劲，周舟. 计算机应用教程[M].北京邮电大学出版社， 2021.