Abstract

A huge amount of data is being generated in Internet of Things (IoT) devices used in smart homes, traffic sensors, smart cities and various connected appliances. Fog computing is one area which is quite popular in processing this huge amount of IoT data. However, there are challenges in these models for performing real time analytics in such data for quick analytics and insights. Fog analytics pipeline is one such area which can be a possible solution to address these challenges. In this chapter, an overview of using Fog computing platform for analyzing the data generated by IoT devices is provided. Fog computing platforms will be compared with the state‐of‐the‐art to differentiate its impact in terms of analytics.

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