Data Aggregation in Healthcare Applications and BIGDATA set in a FOG based Cloud System
In the previous chapter, we discussed cloud based system for analyzing BIGDATA in healthcare. But cloud may not be an adequate solution for the same. Cloud has also several disadvantages when we try to analyze and interpret emergency health data like ECG, EMG or similar kind of patient monitoring data. In this chapter, we present the problems of currently available simple cloud systems for day to day applications and also propose a better and new network and system architecture that is the future of could computing commonly known as the Fog networks. We also discuss our future plan in working with the Fog architecture along with the cloud system design and submit an outline on the analysis of different kind of healthcare data of real time patients. Fog computing is completely a high level conceptual computing paradigm in this research domain. Fog computing extends the use of the traditional cloud computing and services to the networking edges. There have been several new features offered by the fog computing among which the important features are (a) the distributed analytics and (b) the edge intelligence. The successful and intelligent application of these features for delay and time sensitive applications has led to the discovery of early notification in emergency healthcare situations which can be extended to support smart and intelligent decision making process. Till date, the burning question in the literature of this research domain is the following how to design an architecture for emergency medical data monitoring system based on a real world fog based cloud computing mechanism. While answering the above question, in this research, we discuss both the theoretical and