Title :
A framework for massive data transmission in a remote real-time health monitoring system
Author :
Chen, Surong ; Zhu, Xiaohui ; Zhang, Sijing ; Wang, Jiehua
Author_Institution :
Sch. of Comput. Sci. & Technol., Nantong Univ., Nantong, China
Abstract :
A great progress has been made in the past few years on remotely monitoring human health in real-time through the micro sensor. With the assurance of the reliability and security for the two-way data transmission between the sensor and the data center, it is important to solve the problem of concurrent transmission for massive data. This paper presents an effective solution for highly concurrent transmission of massive physiological data by using the dynamic server IP address binding, resource utilization based priority scheduling, NAS storage and RAC technology. The effectiveness of the proposed solution is demonstrated through an experimental application.
Keywords :
IP networks; biomedical communication; computer centres; computer network reliability; computer network security; concurrency control; data communication; health care; medical information systems; microsensors; patient monitoring; real-time systems; resource allocation; NAS storage; RAC technology; concurrent data transmission; data center; dynamic server IP address binding; massive physiological data transmission; microsensor; network attached storage; priority scheduling; real application cluster; remote real-time health monitoring system; resource utilization; two-way data transmission reliability; two-way data transmission security; Biomedical monitoring; Data communication; Databases; IP networks; Monitoring; Physiology; Servers; IOCP protocol; Massive data transmission; eHealth; priority scheduling algorithm; resource utilisation ratio; server cluster;
Conference_Titel :
Automation and Computing (ICAC), 2012 18th International Conference on
Conference_Location :
Loughborough
Print_ISBN :
978-1-4673-1722-1
