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粤港澳大湾区机场群航线网络特征分析 被引量:9
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作者 赵元棣 易雨菡 王中义 《科学技术与工程》 北大核心 2021年第19期8270-8275,共6页
针对粤港澳大湾区机场群空域资源紧张问题,通过建立粤港澳大湾区机场群的航线网络模型,运用复杂网络分析方法,计算出航线网络模型的各种统计指标,对机场以及机场群的航线网络进行分析研究。结果表明:广州白云机场和香港国际机场在粤港... 针对粤港澳大湾区机场群空域资源紧张问题,通过建立粤港澳大湾区机场群的航线网络模型,运用复杂网络分析方法,计算出航线网络模型的各种统计指标,对机场以及机场群的航线网络进行分析研究。结果表明:广州白云机场和香港国际机场在粤港澳大湾区机场群内地位逐渐突出;机场群向外辐射的国内航线网络存在区域性分布不均;机场群的国内航线网络具有小世界特性以及无标度特性等。 展开更多
关键词 航线网络 复杂网络 机场群 航线规划
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Service Caching and Task Offloading for Mobile Edge Computing-Enabled Intelligent Connected Vehicles 被引量:3
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作者 HUANG Mengting YI Yuhan ZHANG Guanglin 《Journal of Shanghai Jiaotong university(Science)》 EI 2021年第5期670-679,共10页
The development of intelligent connected vehicles(ICVs)has tremendously inspired the emergence of a new computing paradigm called mobile edge computing(MEC),which meets the demands of delay-sensitive on-vehicle applic... The development of intelligent connected vehicles(ICVs)has tremendously inspired the emergence of a new computing paradigm called mobile edge computing(MEC),which meets the demands of delay-sensitive on-vehicle applications.Most existing studies focusing on the issue of task offloading in ICVs assume that the MEC server can directly complete computation tasks without considering the necessity of service caching.However,this is unrealistic in practice because a large number of tasks require the use of corresponding third-party libraries and databases,that is,service caching.Therefore,we investigate the delay optimization in an MEC-enabled ICVs system with multiple mobile vehicles,resource-limited base stations(BSs),and one cloud server.We aim to determine the optimal service caching and task offloading decisions to minimize the overall system delay using mixed-integer nonlinear programming.To address this problem,we first convert it into a quadratically constrained quadratic program and then propose an efficient semidefinite relaxation-based joint service caching and task offloading(JSCTO)algorithm to obtain the service caching and task offloading decisions.In the simulations,we validate the efficiency of our proposed method by setting different numbers of vehicles and the storage capacity of BSs.The results show that our proposed JSCTO algorithm can significantly decrease the total delay of all offloaded tasks compared with the cloud processing only scheme. 展开更多
关键词 intelligent connected vehicle(ICV) mobile edge computing(MEC) service caching task offloading delay cost
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