Comparative Analysis of Energy Efficiency and Latency of Fog and Cloud Architectures

Today, we are witnessing the overpopulation of connected objects due to the ubiquitous computing or pervasive computing known as the Internet of Things. Recent developments in the field of industry have heightened the need for the Internet of Things. Therefore, the use of IoT implies the industrial internet of things. In fact, to be interested in its evolution, it is necessary to ensure the ease of its deployment as well as the gains of the industrial society on the economic level. The main challenges of IoT are: Speed computing, energy saver, bandwidth saver and providing low latency. However, these parameters have a serious effect on the use of the Internet of Things, which is necessary to find a solution to optimize its uses in the industry. This article seeks to address these issues by analyzing the IoT literature and its theoretical modeling of fog computing architecture and comparing its performance with the traditional cloud computing model. We suggest a global model and architecture, on which industrial companies can rely in order to optimize the internet of things resources and provide a better result.