A Study on Optimal Framework with Fog Computing for Smart City

Abstract

Mobile users are increasing rapidly and having high requisition of location-based and localized information. To require localized information from the cloud can lead to incompetent resource utilization and costly process. Localized information can be retrieved through local resources only. This encourages the use of fog computing. Fog computing can be renamed as edge computing; it is an extension of cloud computing. Fog computing transmits information to the mobile user at a fast rate. Fog is the layer closer to the end user. Fog edges have the computing capacity, storage capacity, and networking resources for end user devices. This study proposed the fog computing techniques and the models for minimizing the overall latency while placing the data on the fog. In the current scenario, to reduce the delay tradeoff when the task is offloading, it requires to examine the QoS parameters that improve the performance of fog computing.