5G Improved Cloud Service Experience and Promotes the Data Collection for Big Data Analysis
- DOI
- 10.2991/mbdasm-19.2019.40How to use a DOI?
- Keywords
- 5G; cloud service; low network delay; high speed data transferred; STADIA; light working; driverless driving; big data; VR educationg; real-time; higher interactivity, science communication, culture communication
- Abstract
5G will be a revolution technology for cloud service based on the high speed and low delay internet to improve the user service and provide more possibility for cloud service. The low internet delay allowed more users interaction happened based on the service provider without complicated limitation to user’s hard ware and software, making the auto driving come true, free the people from driving giving more chance for communicate and access to more information, which could also create the environment of cloud service ecology for service provider to collecting more data for bigdata analyze. It will be useful on especially cloud gaming, streaming service, VR education, science and culture communication, light working and driverless driving, all these services meaning more data feed to server, and more kinds of data can be use in data analyze. This article points out the relevant field which will extremely change by 5G and the connection between the changing and bigdata development, giving a vision about bigdata developing.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Haixiang Lin PY - 2019/10 DA - 2019/10 TI - 5G Improved Cloud Service Experience and Promotes the Data Collection for Big Data Analysis BT - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019) PB - Atlantis Press SP - 174 EP - 177 SN - 2352-538X UR - https://doi.org/10.2991/mbdasm-19.2019.40 DO - 10.2991/mbdasm-19.2019.40 ID - Lin2019/10 ER -