Multi-Agent Solution for a Cloud-based e-Health Application

Ubiquitous computing for innovative health-care systems, services and applications became more and more connected to Cloud systems and the applications required a scalable, reliable and secure environments, the containerized environments representing suitable solutions. In this paper we deal with the advantage of multi-agent systems and IoT for ehealth applications in scalable platforms. We investigated how Cloud-based model can be adopted. Thus, an architecture was designed for a medical data based intelligent system that processes the collected data and takes the right decisions based on them. This work also presents a drill down into the mobile client architecture focusing on the implementation of some of the simple periodic agents and combining them into complex periodic agents. The pulse-oximetry sensors were considered in this research. In this context, a heart rate simple periodic agent and a SpO2 simple periodic agent were developed. Our model considers that the data measured by the sensors will be used to monitor health status of a patient in real time or to discover threshold values for the data that can be further careful be analyzed and interpreted as a medical pre-diagnosis.