A Survey of Smart Health: System Design from the Cloud to the Edge

被引：0
|
作者：
Qiu Y. [1 ]
Wang C. [1 ]
Qi K. [2 ]
Shen Y. [1 ]
Li C. [1 ]
Zhang C. [3 ]
Guo M. [1 ]
机构：
[1] Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai
[2] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[3] Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai
来源：
Qi, Kaiyue (tommy-qi@sjtu.edu.cn) | 1600年 / Science Press卷 / 57期
关键词：
Blockchain; Cloud computing; Fog computing; Privacy and security; Sensor; Smart health; Survey;
D O I：
10.7544/issn1000-1239.2020.20190002
中图分类号：
学科分类号：
摘要：
Smart health is a real-time, intelligent, ubiquitous healthcare service based on the IoT aware network and sensing infrastructure. Thanks to the rapid development of related technologies such as cloud computing, fog computing and IoT, research on smart health is gradually on the right track. This paper analyzes research on smart health in recent years and then discusses the development of smart health from both cloud and edge, including cloud computing, fog computing, IoT sensors, blockchain, and privacy and security. At present, in the research of cloud and smart health, the focus is on how to use the cloud to complete the challenges of massive health data and improve service performance, including related issues such as storage, retrieval and calculation of health big data in the cloud. At the edge, research focuses on the collection, transmission, and computation of health data, including sensors and wearable devices for collecting health data, various sensor networks, and how to process health data and improve service performance at the edge. As an emerging technology, blockchain has a wide range of applications in smart health. We discuss typical smart health application, blockchain in smart health and privacy and security issues related to smart health. Finally, we present challenges and opportunities for smart health in the edge computing era. © 2020, Science Press. All right reserved.
引用
收藏
页码：53 / 73
页数：20
相关论文
共 114 条
  • [1] Ahmed E., Yaqoob I., Gani A., Et al., Internet-of-things-based smart environments: State of the art, taxonomy, and open research challenges, IEEE Wireless Communications, 23, 5, pp. 10-16, (2016)
  • [2] Kaisler S., Armour F., Espinosa J.A., Et al., Big data: Issues and challenges moving forward, Proc of the 46th Hawaii Int Conf on System Sciences, pp. 995-1004, (2013)
  • [3] Josep A.D., Katz R., Konwinski A., Et al., A view of cloud computing, Communications of the ACM, 53, 4, pp. 50-58, (2010)
  • [4] Jadeja Y., Modi K., Cloud computing-concepts, architecture and challenges, Proc of the Int Conf on Computing, Electronics and Electrical Technologies, pp. 877-880, (2012)
  • [5] Zhang S., Zhang S., Chen X., Et al., Cloud computing research and development trend, Proc of the 2nd Int Conf on Future Networks, pp. 93-97, (2010)
  • [6] Hou X., Song P., Tang W., Et al., Green hierarchical management for distributed datacenter containers, Journal of Computer Research and Development, 53, 7, pp. 1493-1502, (2016)
  • [7] Murdoch T.B., Detsky A.S., The inevitable application of big data to health care, The Journal of the American Medical Association, 309, 13, pp. 1351-1352, (2013)
  • [8] Lin C., Huang L., Chou S., Et al., Temporal event tracing on big healthcare data analytics, Proc of the IEEE Int Congress on Big Data, pp. 281-287, (2014)
  • [9] Kaur K., Rani R., Managing data in healthcare information systems: Many models, one solution, Computer, 48, 3, pp. 52-59, (2015)
  • [10] Yang C., Shih W., Chen L., Et al., Accessing medical image file with co-allocation HDFS in cloud, Future Generation Computer Systems, 43, pp. 61-73, (2015)
12345678910