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An extension or supplement of cloud computing is edge computing, in which the computation process is carried out nearer to the source of data, thus reducing network latency and improving the overall efficiency of the network [21]. The computation is placed on the network’s edge to minimize the bandwidth that is required compared to the bandwidth that are used for cloud computing. Thus applications such as healthcare monitoring, which require critical time solution are based on edge computing since that is a computing platform that is aware of network latency. The edge computing architecture is shown in Figure 4.1. The network that is used for processing the acquired data could be Radio Access Network [13] or Local Area Network or IoT network [3]. Then processing is carried out locally in the device edge. To perform tasks with high computation, the data processed in the edge device is transmitted to the cloud and data storage takes place in the cloud [18, 22, 36].