Journal article

HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments

Shreshth Tuli, Nipam Basumatary, Sukhpal Singh Gill, Mohsen Kahani, Rajesh Chand Arya, Gurpreet Singh Wander, Rajkumar Buyya

Future Generation Computer Systems | Elsevier | Published : 2020

Abstract

Cloud computing provides resources over the Internet and allows a plethora of applications to be deployed to provide services for different industries. The major bottleneck being faced currently in these cloud frameworks is their limited scalability and hence inability to cater to the requirements of centralized Internet of Things (IoT) based compute environments. The main reason for this is that latency-sensitive applications like health monitoring and surveillance systems now require computation over large amounts of data (Big Data) transferred to centralized database and from database to cloud data centers which leads to drop in performance of such systems. The new paradigms of fog and ed..

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Grants

Funding Acknowledgements

This research work is supported by the Melbourne-Chindia Cloud Computing (MC3) Research Network, Australia and Australian Research Council. We would like to thank the editor, area editor and anonymous reviewers for their valuable comments and suggestions to help and improve our research paper. We would also like to thank Samodha Pallewatta, Shashikant Ilager (CLOUDS Lab, University of Melbourne) and Shikhar Tuli (Indian Institute of Technology, Delhi) for their valuable comments on improving the quality of presentation.