Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness

IoT applications demand higher Quality of Experience (QoE) to deliver satisfactory services to the end-users. Variable user behavior, diverse application requirements, and dynamic system constraints exacerbate the QoE delivery challenge. Situational-awareness encapsulates the constraints at the user, application, and system levels, quantifiably reflecting system dynamics. Such models can manage diversity among multiple layers of the system stack while improving QoE. In this paper, we investigate the diverse set of requirements and opportunities in edge paradigm that vary over time using health monitoring applications. Towards address this challenge, we propose a situational-awareness model that enables intelligent orchestration of IoT applications across networked and distributed hardware platforms.