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浏览/检索结果: 共45条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches 期刊论文  OAI收割 IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 16 作者:  Wang, Qi;  Huang, Jianhui;  Xu, Yongjun   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/12/06 Scheduling  timely-throughput  deep reinforcement learning  real-time wireless networks  distributed system   A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling 期刊论文  OAI收割 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2024, 卷号: 9, 期号: 3, 页码: 422-432 作者:  Cheng, Long;  Wang, Yue;  Cheng, Feng;  Liu, Cheng;  Zhao, Zhiming   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/12/06 Cloud computing  Processor scheduling  Real-time systems  Costs  Quality of service  Time factors  Dynamic scheduling  DRL  job scheduling  preemptive mechanism  optimization   Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 12, 页码: 3772-3786 作者:  Wang, Tian;  Zhou, Junlong;  Li, Liying;  Zhang, Gongxuan;  Li, Keqin   |  收藏  |  浏览/下载：44/0  |  提交时间：2022/12/07 Cloud computing  Servers  Reliability  Business  Computer architecture  Real-time systems  Processor scheduling  Cloud service  deadline miss rate  multiserver configuration  profit maximization  soft error reliability   Real-Time Scheduling of Autonomous Mining Trucks via Flow Allocation-Accelerated Tabu Search 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 466-479 作者:  Zhang, Xiaotong;  Guo, Ao;  Ai, Yunfeng;  Tian, Bin;  Chen, Long   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/11/28 Mathematical models  Fuels  Autonomous vehicles  Real-time systems  Dynamic scheduling  Load modeling  Transportation  Autonomous truck  heuristic algorithm  open-pit mine  real-time scheduling   Joint Algorithm of Message Fragmentation and No-Wait Scheduling for Time-Sensitive Networks 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 478-490 作者:  Xi Jin;  Changqing Xia;  Nan Guan;  Peng Zeng   |  收藏  |  浏览/下载：34/0  |  提交时间：2021/04/09 Message fragmentation  networked control system  real-time scheduling  time sensitive network   Intelligent decision-making of scheduling for dynamic permutation flowshop via deep reinforcement learning 期刊论文  OAI收割 Sensors (Switzerland), 2021, 卷号: 21, 期号: 3, 页码: 1-20 作者:  Yang SL(杨圣落);  Xu ZG(徐志刚);  Wang JY(王军义)   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/02/14 permutation flowshop scheduling problem  deep reinforcement learning  actor-critic  dynamic scheduling  real-time scheduling  new job arrival  tardiness cost   Queue assignment for fixed-priority real-time flows in time-sensitive networks: Hardness and algorithm 期刊论文  OAI收割 Journal of Systems Architecture, 2021, 卷号: 116, 页码: 1-11 作者:  Lin YH(林宇晗);  Jin X(金曦);  Zhang TY(张天宇);  Han ML(韩美灵);  Guan N(关楠)   |  收藏  |  浏览/下载：14/0  |  提交时间：2021/05/15 Resource management  Industrial internet of things  Real-time scheduling  Time-sensitive networks   Mixed-criticality Industrial Data Scheduling on 5G NR 期刊论文  OAI收割 IEEE Internet of Things Journal, 2021, 页码: 1-13 作者:  Jin X(金曦);  Tian Y(田宇);  Xu C(许驰);  Xia CQ(夏长清);  Li D(李栋)   |  收藏  |  浏览/下载：41/0  |  提交时间：2021/11/18 5G NR  mixed criticality  real-time performance  Reliability  scheduling   Joint Algorithm of Message Fragmentation and No-Wait Scheduling for Time-Sensitive Networks 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 478-490 作者:  Jin X(金曦);  Xia CQ(夏长清);  Guan N(关楠);  Zeng P(曾鹏)   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/01/30 Message fragmentation  networked control system  real-time scheduling  time sensitive network   Energy Efficient Scheduler of Aperiodic Jobs for Real-time Embedded Systems 期刊论文  OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 733-743 作者:  Hussein El Ghor;  El-Hadi M. Aggoune   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/02/22 Real-time systems  energy efficiency  aperiodic jobs  scheduling  dynamic voltage scaling  low-power systems  embedded systems.