A framework for massive data transmission in a remote real-time health monitoring system

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.