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科研机构
计算技术研究所 [11]
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期刊论文 [11]
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2021 [2]
2020 [3]
2019 [5]
2018 [1]
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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:17/0
  |  
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
A scheme for intelligent blockchain-based manufacturing industry supply chain management
期刊论文
COMPUTING, 2021, 页码: 20
作者:
Xu, Zhijun
;
Zhang, Jun
;
Song, Zhaoxiong
;
Liu, Yichen
;
Li, Jun
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/12/01
Supply chain management
Blockchain
Smart contract
Cross-chain architecture
Joint caching and computing resource allocation for task offloading in vehicular networks
期刊论文
IET COMMUNICATIONS, 2020, 卷号: 14, 期号: 21, 页码: 3820-3827
作者:
Wang, Zhi
;
Hou, Ronghui
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/12/01
cellular radio
cloud computing
optimisation
resource allocation
cache storage
linear programming
mobile computing
nonlinear programming
integer programming
joint caching
computing resource
future vehicular networks
computation intensive
efficient content caching strategy
computation resource allocation strategy
mobile edge computing servers
MEC
caching content
maximising caching performance
caching capacity
balanced caching strategy
efficient caching strategy
Reinforcement Learning-Based Mobile Offloading for Edge Computing Against Jamming and Interference
期刊论文
IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 卷号: 68, 期号: 10, 页码: 6114-6126
作者:
Xiao, Liang
;
Lu, Xiaozhen
;
Xu, Tangwei
;
Wan, Xiaoyue
;
Ji, Wen
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/12/10
Task analysis
Mobile handsets
Edge computing
Computational modeling
Interference
Energy consumption
Jamming
Mobile offloading
edge computing
interference
jamming
reinforcement learning
A Blockchain-Based Access Control Framework for Cyber-Physical-Social System Big Data
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 77215-77226
作者:
Tan, Liang
;
Shi, Na
;
Yang, Caixia
;
Yu, Keping
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/12/10
Servers
Cloud computing
Big Data
Iron
Computer architecture
Authorization
CPSS
CPS
access control
blockchain
transaction
MV-Net: Toward Real-Time Deep Learning on Mobile GPGPU Systems
期刊论文
ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2019, 卷号: 15, 期号: 4, 页码: 25
作者:
Tang, Yibin
;
Wang, Ying
;
Li, Huawei
;
Li, Xiaowei
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/12/10
Edge computing
online scheduling
deep learning
energy efficiency
approximate computing
Edge Computing for Autonomous Driving: Opportunities and Challenges
期刊论文
PROCEEDINGS OF THE IEEE, 2019, 卷号: 107, 期号: 8, 页码: 1697-1716
作者:
Liu, Shaoshan
;
Liu, Liangkai
;
Tang, Jie
;
Yu, Bo
;
Wang, Yifan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/12/10
Connected and autonomous vehicles (CAVs)
edge computing
heterogeneous computing
security
vehicle-to-everything (V2X)
vehicular operating system
LAMANCO: A Lightweight Anonymous Mutual Authentication Scheme for N-Times Computing Offloading in IoT
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2019, 卷号: 6, 期号: 3, 页码: 4462-4471
作者:
Guizani, Mohsen
;
Du, Xiaojiang
;
Zhu, Liehuang
;
Xu, Yongjun
;
Wang, Fei
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2019/08/16
Authentication
computing offloading (CO)
Internet of Things (IoT)
privacy preserving
MOBILE EDGE COMPUTING-ASSISTED ADMISSION CONTROL IN VEHICULAR NETWORKS The Convergence of Communication and Computation
期刊论文
IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2019, 卷号: 14, 期号: 1, 页码: 37-44
作者:
Tian, Lin
;
Zhou, Yiqing
;
Yuan, Jinhong
;
Qi, Yanli
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2019/04/03
Scheduling-Efficient Framework for Neural Network on Heterogeneous Distributed Systems and Mobile Edge Computing Systems
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 171853-171863
作者:
Zhou, Xiang
;
Zhang, Jilin
;
Wan, Jian
;
Zhou, Li
;
Wei, Zhenguo
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/12/10
Heterogeneous distributed system
mobile edge computing system
adaptive scheduling
large-scale machine learning
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