Edge Computing-Based Mobile Health System: Network Architecture and Resource Allocation

被引:9
|
作者
Lin, Di [1 ]
Tang, Yu [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 610054, Peoples R China
来源
IEEE SYSTEMS JOURNAL | 2020年 / 14卷 / 02期
基金
中国国家自然科学基金;
关键词
Sensors; Electromagnetic interference; Medical services; Cellular networks; Wireless communication; Medical diagnostic imaging; Wireless sensor networks; Data management; edge computing; microservice; mobile health; resource allocation;
D O I
10.1109/JSYST.2019.2923991
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A cellular network with edge computing and microservice is pervasive to support mobile-health applications anytime and anywhere. Edge computing can potentially enhance the computational capabilities of a network, and microservice can help the network adapt to various mobile-health applications. In such a network, we present the design of its architecture, the allocation of its resources, as well as the management of its data. Specifically, we address a three-tier network architecture for mobile-health applications from the perspectives of communication, computation, as well as service. Also, we discuss the issues of resource allocation within the network in order to optimize its performance. Finally, we address the management of medical data (e.g., video streaming, medical images) in order to efficiently inquire them for diagnosis and medical treatment.
引用
收藏
页码:1716 / 1727
页数:12
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