A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing – Singh – – Expert Systems

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1 INTRODUCTION For the last decade, cloud computing has proved to be a prominent method of acquiring or provisioning IT resources for applications whose demand is variable with time (Malawski et al., 2015). Further, it also helps new start‐ups and many organizations not to worry about their IT capital investment. However, cloud computing does impose an issue with the latency‐sensitive application because cloud resources are located far away from the data generating devices (Mahmud et al., 2018). A new computing paradigm known as fog computing was introduced by Cisco in 2012, aiming to resolve the latency issue by providing IT resources physically close to the data generating devices. Fog computing is an extension of cloud computing, not its replacement, since the IT resources provided by fog computing are not that powerful,...