Big Data service engine (BISE): Integration of Big Data technologies for human centric wellness data

Abstract

The advancement in new technologies and their data generation at substantial rate gave birth to the Big Data and requires a robust platform to capture, retrieve, store, and process it. Data generated by Human centric services and applications such as sensors, healthcare applications, social networks, and smart-phones need to be collected and processed to provide in-depth knowledge. In this paper, we propose Hadoop Distributed File System (HDFS) as convergence platform where all these multi-structured data is stored and use Hadoop No-SQL solutions to build warehouse for applications real time access to the data. We manage users clinical, personalized, and feedback data to provide clinical, physical, social, and mental health monitoring platform. We implement a Big Data service engine which provides storage services to health monitoring systems and analytics services to visualize and monitor clinical information, physical activities and emotions performed by the users. Our prototype system successfully integrates various technology platforms and provide centralized health monitoring system.

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