Design and Optimization of REST Services for Performance and Scalability in Provision of Big Environmental Data to Exploratory Analytics of their Effects on Progression of ALS and MS

We present the rationale and implementation examples of an architecture and design of the REST service tier APIs in a Java web-based stack, optimized in design towards performance in fetching and manipulating hundreds of thousands of collected ambiental and patient activity sensed IoT data (mostly on air quality/pollution) in rich web UI interactive dashboarding exploratory analytics, to study of the possible effects and influences of environmental and daily living ambient and activity factors on the aetiology and progression of dire chronic neurodegenerative diseases of Amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS).