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Edge computing [26] brings data storage and computation closer; that is, these tasks are done within the IoT framework in the location that is nearer for the user end. It is a distributed computing, mainly designed to minimize the response time and to eliminate network latency, saving bandwidth. As the storage and computation is done in the edge nodes, data can be protected efficiently. When edge computing is coupled with machine learning technology, real-time solutions with high efficiency can be developed easily [4, 15, 39].