Abstract
This chapter aims to present device-centric distributed Internet of Things (IoT) analytics systems and highlights three major contributions: Mobile Sensor Data Processing Engine (MOSDEN), Context-Aware Real-time Data Analytics Platform (CARDAP), and UniMiner. It defines the role of analytics in IoT systems and discusses variants of analytics methods and cloud-based analytics systems for IoTs. The chapter presents device-centric mobile and immobile IoT systems and also presents the speculated multitier architecture for device-centric distributed analytics systems. Device-centric IoT systems are designed to delegate control of application execution at the device end by using IoT devices as the primary platform for performing data analytics. Device-centric IoT systems also enable us to preserve the privacy and security of devices and users by delegating complete control of application execution and data sharing at the device end. The primary focus of MOSDEN design was on distributed processing, scalability, community-based development, and usability. The CARDAP architecture facilitates distributed data processing and enables multiple data processing strategies.
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