云南高校图书馆联盟文献共享服务平台- COMPUTING

COMPUTING: 作品数：1504被引量：2431H指数：20; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：周晓燕赵军王国胤周艳刘红波更多>>; 相关机构：北京邮电大学东南大学华为技术有限公司苏州外国语学校更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金北京市自然科学基金更多>>

Container cluster placement in edge computing based on reinforcement learning incorporating graph convolutional networks scheme: 《Digital Communications and Networks》2025年第1期60-70,共11页Zhuo Chen Bowen Zhu Chuan Zhou; Container-based virtualization technology has been more widely used in edge computing environments recently due to its advantages of lighter resource occupation, faster startup capability, and better resource utilizat...; 关键词：Edge computing Network virtualization Container cluster Deep reinforcement learning Graph convolutional network

Joint offloading decision and resource allocation in vehicular edge computing networks: 《Digital Communications and Networks》2025年第1期71-82,共12页Shumo Wang Xiaoqin Song Han Xu Tiecheng Song Guowei Zhang Yang Yang; supported by Future Network Scientific Research Fund Project (FNSRFP-2021-ZD-4);National Natural Science Foundation of China (No.61991404,61902182);National Key Research and Development Program of China under Grant 2020YFB1600104;Key Research and Development Plan of Jiangsu Province under Grant BE2020084-2。; With the rapid development of Intelligent Transportation Systems(ITS),many new applications for Intelligent Connected Vehicles(ICVs)have sprung up.In order to tackle the conflict between delay-sensitive applications a...; 关键词：Computation offloading Resource allocation Vehicular edge computing Potential game Multi-agent deep deterministic policy gradient

FedACT:An adaptive chained training approach for federated learning in computing power networks: 《Digital Communications and Networks》2024年第6期1576-1589,共14页Min Wei Qianying Zhao Bo Lei Yizhuo Cai Yushun Zhang Xing Zhang Wenbo Wang; supported by the National Key R&D Program of China(No.2021YFB2900200)。; Federated Learning(FL)is a novel distributed machine learning methodology that addresses large-scale parallel computing challenges while safeguarding data security.However,the traditional FL model in communication sce...; 关键词：Computing power network(CPN) Federated learning(FL) Segment routing IPv6(SRv6) Communication overheads Model accuracy

Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections: 《Digital Communications and Networks》2024年第6期1600-1610,共11页Ziyi Lu Tianxiong Wu Jinshan Su Yunting Xu Bo Qian Tianqi Zhang Haibo Zhou; supported by the Natural Science Fund for Distinguished Young Scholars of Jiangsu Province under Grant BK20220067。; With the support of Vehicle-to-Everything(V2X)technology and computing power networks,the existing intersection traffic order is expected to benefit from efficiency improvements and energy savings by new schemes such ...; 关键词：Unsignalized intersection Automatic vehicle scheduling Edge computing Communication protocol Computing power network

Game-theoretic private blockchain design in edge computing networks: 《Digital Communications and Networks》2024年第6期1622-1634,共13页Daoqi Han Yang Liu Fangwei Zhang Yueming Lu; supported by the National Key R&D Program of China under Grant No.2021YFB3101904 and the fund under Grant No.2021JCJQQT075。; Considering the privacy challenges of secure storage and controlled flow,there is an urgent need to realize a decentralized ecosystem of private blockchain for cyberspace.A collaboration dilemma arises when the partic...; 关键词：ECOSYSTEM Edge computing Feedback Stackelberg game Private blockchain Scalable computing power

Partial observation learning-based task offloading and spectrum allocation in UAV collaborative edge computing: 《Digital Communications and Networks》2024年第6期1635-1643,共9页Chaoqiong Fan Xinyu Wu Bin Li Chenglin Zhao; supported by the Natural Science Foundation of China(NSFC)under Grant 62101051;the Guangdong Key Laboratory of Intelligent Information Processing;Shenzhen Key Laboratory of Media Security,Shenzhen 518060,China。; Capable of flexibly supporting diverse applications and providing computation services,the Mobile Edge Computing(MEC)-assisted Unmanned Aerial Vehicle(UAV)network is emerging as an innovational paradigm.In this paradi...; 关键词：UAV networks Edge computing Task offloading Spectrum allocation Partial observation Regret learning

A novel routing method for dynamic control in distributed computing power networks: 《Digital Communications and Networks》2024年第6期1644-1652,共9页Lujie Guo Fengxian Guo Mugen Peng; Driven by diverse intelligent applications,computing capability is moving from the central cloud to the edge of the network in the form of small cloud nodes,forming a distributed computing power network.Tasked with bo...; 关键词：Computing power networks ROUTING Fuzzy logic Multi-attribute decision making

A game incentive mechanism for energy efficient federated learning in computing power networks: 《Digital Communications and Networks》2024年第6期1741-1747,共7页Xiao Lin Ruolin Wu Haibo Mei Kun Yang; partly funded by MOST Major Research and Development Project(Grant No 2021YFB2900204);Natural Science Foundation of China(Grant No 62132004);Sichuan Major R&D Project(Grant No 22QYCX0168);the Key Research and Development Program of Zhejiang Province(Grant No 2022C01093)。; Computing Power Network(CPN)is emerging as one of the important research interests in beyond 5G(B5G)or 6G.This paper constructs a CPN based on Federated Learning(FL),where all Multi-access Edge Computing(MEC)servers a...; 关键词：Computing power network Federated learning Energy efficiency Stackelberg game Resource allocation

Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks: 《Digital Communications and Networks》2024年第6期1769-1781,共13页Xiaoyi Zhou Liang Huang Tong Ye Weiqiang Sun; supported in part by the National Natural Science Foundation of China under Grant 62271306,Grant 62072410,and Grant 62331017;in part by the Fundamental Research Funds for the Provincial Universities of Zhejiang under Grant RF-B2022002。; This paper investigates the multi-Unmanned Aerial Vehicle(UAV)-assisted wireless-powered Mobile Edge Computing(MEC)system,where UAVs provide computation and powering services to mobile terminals.We aim to maximize the...; 关键词：Mobile-edge computing Multi-agent reinforcement learning Offloading decision Trajectory planning Unmanned aerial vehicle Wireless power transfer

Collaborative learning-based inter-dependent task dispatching and co-location in an integrated edge computing system: 《Digital Communications and Networks》2024年第6期1837-1850,共14页Uchechukwu Awada Jiankang Zhang Sheng Chen Shuangzhi Li Shouyi Yang; The financial support of the National Natural Science Foundation of China under grants 61901416 and 61571401(part of the Natural Science Foundation of Henan under grant 242300420269);the Young Elite Scientists Sponsorship Program of Henan under grant 2024HYTP026;the Innovative Talent of Colleges and the University of Henan Province under grant 18HASTIT021。; Recently,several edge deployment types,such as on-premise edge clusters,Unmanned Aerial Vehicles(UAV)-attached edge devices,telecommunication base stations installed with edge clusters,etc.,are being deployed to enabl...; 关键词：Edge computing Collaborative learning Resource utilization Execution time Edge federation Gang scheduling

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

COMPUTING

检索结果分析

下载全文

高级检索检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

COMPUTING

检索结果分析

下载全文

用户登录

高级检索检索式检索