Optimizing cloud health Care Data Transmissions using Fog

Abstract

Cloud computing has been dominating enterprise data management solutions for a while now but still requires human-computer interface agents to govern and facilitate services and healthcare domain is no exception. Fog Computing the latest buzz word often considered an extension to Cloud computing enables smart pervasive devices to directly interact with the cloud while simultaneously upholding Quality of Service (QoS) metrics such as performance and security. For smooth transition of communication services in health care computing domain, prior approaches suggested a data collection protocol to support autonomic fogging between medical devices and cloud storages. Although efficient and automated this approach is facing a bottleneck scenario leading to data retransmissions when health data spikes exponentially. To address this problem we propose a dynamic buffering algorithm that ensures the optimized queue and power management scheme within the medical user's device to hold the data in the queue for updating, to prevent queue over flows and thus reducing important health data losses when involved entities are offline. To improve the performance of the proposed system a new sensor technology is adapted to the system. This approach is a first of its kind approach in health care driven fog computing that can offer smooth automated data transitions.