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  • 标题:5G Edge Network of Collaborative Computing Task-Scheduling Algorithm with Cloud Edge
  • 本地全文:下载
  • 作者:Weixin Sui ; Yimin Zhou ; Sizheng Zhu
  • 期刊名称:Mobile Information Systems
  • 印刷版ISSN:1574-017X
  • 出版年度:2022
  • 卷号:2022
  • DOI:10.1155/2022/4592790
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In the new era, the arrival of 5G has added a lot of fun and beauty to our lives, allowing us to enjoy the happiness brought by the network even more. The 5th Generation mobile technology (5G for short) is a new generation of broadband mobile communication technology with features such as higher speed, lower latency, and massive connectivity. Moreover, this is a network infrastructure that, in fact, realizes the interconnections among humans, computer machines, and sensors/things, i.e., Internet of things. The world can now be characterized as a whole global village. The 5 G, mobile edge computing networks, and cloud-edge collaborative computing allow us to communicate and share information on the cloud networks, allowing us to better understand the global village. Based on cloud-edge collaborative computing for 5G edge networks, this study builds a task scheduling algorithm, which will help us to check network defects and make better use of the 5G technology to serve customers. Experimental results demonstrate the extra efficiency of the proposed algorithm over the closest rivals.
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