Fog-Based Smart Healthcare as a Big Data and Cloud Service for Heart Patients Using IoT
The leading-edge of Internet of Things (IoT) gradually make item available on the Internet but data processing is not scaling effectively to fulfil the requirements of centralized cloud environment. One of the main reason of this problem is that deadline oriented cloud applications such as health monitoring, flight control system and command control system, which needs minimum latency and response time originated by transmission of large amount of data (Big Data) to centralized database and then database to an IoT application or end device which leads to performance degradation. Fog computing is an innovative solution to reduce the delay (or latency), resource contention and network congestion, in which cloud is extended to the edge of the network. We proposed a fog-assisted information model in this paper, which delivers healthcare as a cloud service using IoT devices. Further, proposed model efficiently manages the data of heart patients, which is coming through their user requests. iFogSim toolkit is used to analyse the performance of proposed model in Fog-enabled cloud environment.
KeywordsCloud computing Fog computing Internet of Things Healthcare Big Data
This research work is supported by the Melbourne-Chindia Cloud Computing (MC3) Research Network and Australian Research Council (DP160102414).
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