Edge computing and 5G based low-delay business English translation framework

被引:2
|
作者
Hu, Rongyan [1 ]
Wu, Kejia [1 ]
机构
[1] Hunan Int Business Vocat Coll, Changsha, Peoples R China
关键词
5G; business English; edge computing; translation; INTERNET;
D O I
10.1002/itl2.321
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
With the acceleration of internationalization, English has become the most mainstream international language in the world. A variety of emerging technologies, such as artificial intelligence and the Internet, make English-based communication possible to cross national boundaries. However, the quality of transnational business English is often affected by the timeliness of communication. Therefore, this paper mainly studies the low-delay business English translation based on edge computing and 5G. On the one hand, based on mobile edge computing, the translation ability is sunk from the cloud to the edge to improve the corresponding speed of translation. On the other hand, the edge state is monitored in real time by 5G technology, and the user experience is taken as an index to provide a decision-making basis for the calculation of business English translation diversion. By selectively sinking part of the translation work from the cloud to the edge, it not only improves the response speed, but also ensures the quality of user experience.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] A multipath scheduler based on cross-layer information for low-delay applications in 5G edge networks
    Zhao, Baosen
    Yang, Wanghong
    Du, Wenji
    Ren, Yongmao
    Sun, Jianan
    Wu, Qinghua
    Zhou, Xu
    COMPUTER NETWORKS, 2024, 244
  • [2] SatEC: A 5G Satellite Edge Computing Framework Based on Microservice Architecture
    Yan, Lei
    Cao, Suzhi
    Gong, Yongsheng
    Han, Hao
    Wei, Junyong
    Zhao, Yi
    Yang, Shuling
    SENSORS, 2019, 19 (04)
  • [3] Educational 5G Edge Computing: Framework and Experimental Study
    Chen, Qingyong
    Wang, Zhe
    Su, Yu
    Fu, Luwei
    Wei, Yuanlun
    ELECTRONICS, 2022, 11 (17)
  • [4] Study on AGV based on 5G and edge computing
    Liu, Yuanyong
    Li, Qiang
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 233 - 233
  • [5] Intelligent and Ubiquitous Positioning Framework in 5G Edge Computing Scenarios
    Guo, Chi
    Yu, Jiang
    Guo, Wen-Fei
    Deng, Yue
    Liu, Jing-Nan
    IEEE ACCESS, 2020, 8 : 83276 - 83289
  • [6] Edge Computing in 5G: A Review
    Hassan, Najmul
    Yau, Kok-Lim Alvin
    Wu, Celimuge
    IEEE ACCESS, 2019, 7 : 127276 - 127289
  • [7] Low-Latency Computation Offloading based on 5G Edge Computing Systems
    Pan, Zhen-Yuan
    Chen, Jiann-Liang
    Chang, Yao-Chung
    2022 24TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ARITIFLCIAL INTELLIGENCE TECHNOLOGIES TOWARD CYBERSECURITY, 2022,
  • [8] Industrial Intelligent Edge Computing System based on 5G
    Ding, Peng
    Liu, Dan
    Shen, Yun
    Shi, XiaoHou
    Zhou, HengRui
    Kan, HaoLong
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 1494 - 1498
  • [9] A scheduling framework for latency optimization on 5G mobile edge computing infrastructures
    Carpentieri, Bruno
    Palmieri, Francesco
    2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2019,
  • [10] Support for Edge Computing in the 5G Network
    Choi, Young-il
    Park, Noik
    2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018), 2018, : 586 - 590