Fog Computing: An Enhanced Performance Analysis Emulation Framework for IoT with Load Balancing Smart Gateway Architecture

With the exponential progress of IoT applications in last few years, a huge amount of data is being collected and stored every day and thus an enhanced and mature solution is very much necessary to knob these data. Usually cloud is utilized as the processing and storing unit of an IoT system. Cloud is deliberated to be the best solution for emerging IoT models with its diversified facilities. To tackle the massy amount of data that is being pumped everyday throughout the network, Fog computing is an effective solution which can trim and pre-process the data before forwarding it to cloud where Fog resides near the IoT application. Unlike cloud, Fog may not have high computing facilities but it can perform better in case of time sensitive applications with moderate processing. Based on the recent trend smart gateway-based Fog-Cloud solutions are gaining more popularities compared with the other related solutions. In this paper, we have extensively discussed about a load balancing based smart gateway with Fog and Cloud environment where an analysis of load balancing environment with regards to processing delay and network delay is performed. Subsequently we have compared different scenarios with and without load balancing algorithm in the projected architecture.