Internet of things-based real-time model study on e-healthcare: Device, message service and dew computing
Abstract Real-timeliness is the key aspect for the growing perspective of Internet of Things (IoT). IoT being a heterogenous and highly distributed framework requires instantaneous adoption of collateral attributes. Due to the lack of service-oriented manifestation of timely signaling, may hinder back the IoT's envisaged speculation. This paper investigates three possible solutions where IoT can be benefited with real-time affect that includes (i) multi-tasking of popular micro-processing modules, (ii) sensor-generated IoT stream processing in cloud-centric medium and (iii) dew computing-based context-aware local computing. The objective of this article is to provide an in-depth analysis and validation of real-time scheduling in resource constrained hardware platforms through real-time message passing in presence of a cloud facilitator with a real-time context. A novel dew computing architecture is hereby introduced and proposed to foresee as an enabler of the context-aware service framework in purely real-time fashion. The promising outcomes validated the proposed frameworks when compared to existing alternatives in terms of efficiency, responsiveness and appropriateness. All the three studies are concentrated to envisage the possible impact on the IoT e-healthcare as a model study. The discussion section presents an overall analysis of the three deployed experiments to find their pros and cons.