Comparison of Reducing Delay in Machine Type Communications Using Fog and Cloud Computing

Recently, Machine Type Communication (MTC) devices have been an attractive area of research. MTC has grown in all fields, in various technologies. In this type of communication, some of the requests are delay-sensitive and must receive to their processing in real time. Furthermore, given the high volume of information generated by the device are problems that cloud computing is used for the processing, analyzing, and storage of data from the client devices. Cloud computing services are having trouble dealing with these issues, and Fog computing can be an acceptable solution while bringing the services closer to the end-system. Fog computing, which the main aim of Fog computing provides low latency computing services at the network edge and the reducing burden on cloud, is an enabler for MTC. Fog, also known as middleware, is required between the cloud and MTC devices. It has all been developed to address the limitations in cloud computing. In this paper, we review these recent technologies, compare their features, and is investigated the reduction of latency using Fog computing for MTCs, which is also a factor in reducing network bandwidth consumption. We formulate a model to allocate the limited processing resource of fog nodes efficiently. We appraise the performance of Fog computing using processing delay in comparison to a cloud computing approach. Simulations confirm the reduction in latency for this type of communication using Fog computing rather than cloud computing.