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浏览/检索结果:
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Multi-objective Deep Reinforcement Learning for Mobile Edge Computing
会议论文
Singapore, 2023/8/24-27
作者:
Yang,Ning
;
Wen,Junrui
;
Zhang,Meng
;
Tang,Ming
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/06/05
mobile edge computing
multi-objective reinforcement learning
resource scheduling
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem
期刊论文
International Journal of Production Research, 2022
作者:
Zhao, Fuqing
;
Hu, Xiaotong
;
Wang, Ling
;
Xu, Tianpeng
;
Zhu, Ningning
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/07/20
Assembly
Energy utilization
Evolutionary algorithms
Iterative methods
Learning algorithms
Multiobjective optimization
Reinforcement learning
Resource allocation
Scheduling
Brain storm optimization
Clustering mechanism
Energy efficient
Learning mechanism
No-wait flow-shop scheduling
No-wait flowshop
Optimisations
Product assignment rule
Q-learning
Q-learning mechanism
C2QoS: Network QoS guarantee in vSwitch through CPU-cycle management
期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2021, 卷号: 116, 页码: 13
作者:
Yang, Ye
;
Jiang, Haiyang
;
Wu, Yulei
;
Han, Chunjing
;
Lv, Yilong
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/12/01
QoS
vSwitch
CPU resource competition
Scheduling
Cloud computing
Max-Min Fair Sensor Scheduling: Game-Theoretic Perspective and Algorithmic Solution
期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 5, 页码: 2379-2385
作者:
Wu, Shuang
;
Ren, Xiaoqiang
;
Hong, Yiguang
;
Shi, Ling
收藏
  |  
浏览/下载:74/0
  |  
提交时间:2021/10/26
Games
Resource management
Nash equilibrium
Optimal scheduling
Scheduling
Estimation error
Game theory
Kalman filtering
max–
min fairness
scheduling
state estimation
Data-Driven Optimization for Cooperative Edge Service Provisioning With Demand Uncertainty
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 6, 页码: 4317-4328
作者:
Li, Liang
;
Shi, Dian
;
Hou, Ronghui
;
Li, Xuanheng
;
Wang, Jie
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/12/01
Uncertainty
Optimization
Edge computing
Servers
Robustness
Processor scheduling
Internet of Things
Data-driven optimization
demand uncertainty
edge computing
resource provisioning
Optimal resource management and allocation for autonomous-vehicle-infrastructure cooperation under mobile edge computing
期刊论文
Assembly Automation, 2021, 卷号: 41, 期号: 3, 页码: 384-392
作者:
Zhou, Shengpei
;
Chang, Zhenting
;
Song, Haina
;
Su YH(苏跃江)
;
Liu, Xiaosong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/06/27
Autonomous driving
Computing resource scheduling
Mobile edge computing
Vehicle-infrastructure cooperation
Queue assignment for fixed-priority real-time flows in time-sensitive networks: Hardness and algorithm
期刊论文
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:16/0
  |  
提交时间:2021/05/15
Resource management
Industrial internet of things
Real-time scheduling
Time-sensitive networks
Incentive Scheme for Slice Cooperation Based on D2D Communication in 5G Networks
期刊论文
CHINA COMMUNICATIONS, 2020, 卷号: 17, 期号: 1, 页码: 28-41
作者:
Sun, Qian
;
Tian, Lin
;
Zhou, Yiqing
;
Shi, Jinglin
;
Zhang, Zongshuai
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/12/10
slice cooperation
incentive cooperation
resource allocation for slice
slice scheduling
wireless communication networks
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 12, 页码: 2879-2895
作者:
Han, Rui
;
Liu, Chi Harold
;
Zong, Zan
;
Chen, Lydia Y.
;
Liu, Wending
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/12/10
Resource management
Scheduling
Google
Yarn
Tuning
Facebook
Task analysis
Cloud datacenter
cluster scheduler
configuration
job latency
YARN
Resource Leveling in Projects with Stochastic Minimum Time Lags
期刊论文
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2019, 卷号: 145, 期号: 4
作者:
Li, Hongbo
;
Wang, Meng
;
Dong, Xuebing
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/08/22
Project management
Project scheduling
Resource leveling
Scheduling strategies
Time uncertainty
Metaheuristics
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