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中国移动通信集团设计院有限公司浙江分公司
Published:2024
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徐帅帅, 苏敏杰, 任迅, et al. 云边端协同下的任务调度与资源分配方法[J]. 2024, 37(6): 50-56.
徐帅帅, 苏敏杰, 任迅, et al. 云边端协同下的任务调度与资源分配方法[J]. 2024, 37(6): 50-56. DOI: 10.13992/j.cnki.tetas.2024.06.014.
为了优化多用户终端、多边缘节点以及云服务器之间的计算资源分配,找到最优的任务调度和资源分配方案。本文在算网融合的基础上提出了一种3层计算资源分配方案,考虑到通信网络带宽的有限性,设立了任务计算优先级和任务上传策略,并在多边缘节点的环境下,制定了多节点并行计算规则,以最大化计算资源的利用率,通过深度强化学习算法进行训练,以学习最优的任务调度和资源分配策略。实验结果表明,本文所提方法在缩短计算任务完成时间方面表现出色,并且在任务数据量增长的情况下,依然表现出良好的鲁棒性。
曹畅,唐雄燕.算力网络关键技术及发展挑战分析[J].信息通信技术与政策,2021(03).
雷波,刘增义,王旭亮,杨明川,陈运清.基于云、网、边融合的边缘计算新方案:算力网络[J].电信科学,2019(09).
Lei Kun,Guo Peng,Zhao Wenchao,Wang Yi,Qian Linmao,Meng Xiangyin,Tang Liansheng.A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem[J].Expert Systems With Applications,2022.
Islam Akhirul,Debnath Arindam,Ghose Manojit,Chakraborty Suchetana.A survey on task offloading in Multi-access Edge Computing[J].Journal of Systems Architecture,2021.
Chen Miaojiang,Wang Tian,Zhang Shaobo,Liu Anfeng.Deep reinforcement learning for computation offloading in mobile edge computing environment[J].Computer Communications,2021.
Liao Zhuofan,Peng Jingsheng,Xiong Bing,Huang Jiawei.Adaptive offloading in mobile-edge computing for ultra-dense cellular networks based on genetic algorithm[J].Journal of Cloud Computing,2021.
College of Electronic and Information Engineering, Southwest University, Chongqing, 400715, China,Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, College of Computer Science, Chongqing University, Chongqing, 400044, China,College of Electronic and Information Engineering, Southwest University, Chongqing, 400715, China,College of Bioengineering, Chongqing University, Chongqing, 400044, China.Joint task offloading and data caching in mobile edge computing networks[J].Computer Networks,2020.
Tong Zhao,Deng Xiaomei,Ye Feng,Basodi Sunitha,Xiao Xueli,Pan Yi.Adaptive computation offloading and resource allocation strategy in a mobile edge computing environment[J].Information Sciences,2020.
Mohammad Alkhalaileh,Rodrigo N. Calheiros,Quang Vinh Nguyen,Bahman Javadi.Data-intensive application scheduling on Mobile Edge Cloud Computing[J].Journal of Network and Computer Applications,2020.
Tingting Dong,Fei Xue,Chuangbai Xiao,Juntao Li.Task scheduling based on deep reinforcement learning in a cloud manufacturing environment[J].Concurrency and Computation: Practice and Experience,2020.
School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, China,School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, China,School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, China,School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, China,School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, China,School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, China.Makespan-minimization workflow scheduling for complex networks with social groups in edge computing[J].Journal of Systems Architecture,2020.
Guo Kai,Yang Mingcong,Zhang Yongbing,Cao Jiannong.Joint Computation Offloading and Bandwidth Assignment in Cloud-Assisted Edge Computing[J].IEEE Transactions on Cloud Computing,2019.
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