REVIEW OF IMPLEMENTING FOG COMPUTING

Abstract

Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. It is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud. This document describes the various features of Fog Computing and a case study along with the actual implementation of fog computing in traffic analysis to understand how fog computing is applied to the edge environment. This document also contains the difference between the fog computing and cloud computing. Keywords— Fog Computing, Characteristics of Fog computing, Application of Fog computing, Difference between Cloud computing and Fog Computing. ---------------------------------------------------------------------***-------------------------------------------------------------------1 .WHAT IS FOG COMPUTING? Fog Computing enables a new breed of applications and services, and that there is a fruitful interplay between the Cloud and the Fog, particularly when it comes to data management and analytics. Fog Computing extends the Cloud Computing paradigm to the edge of the network. While Fog and Cloud use the same resources (networking, compute, and storage), and share many of the same mechanisms and attributes (virtualization, multi-tenancy) the extension is a non-trivial one in that there exist some fundamental differences that stem from the Fog raison d'etre. The Fog vision was conceived to address applications and services that do not fit well the paradigm of the Cloud. They include: • Applications that require very low and predictable latency—the Cloud frees the user from many implementation details, including the precise knowledge of where the computation or storage takes place. This freedom from choice, welcome in many circumstances becomes a liability when latency is at premium (gaming, video conferencing). • Geo-distributed applications (pipeline monitoring, sensor networks to monitor the environment). • Fast mobile applications (smart connected vehicle, connected rail). • Large-scale distributed control systems (smart grid, connected rail, smart traffic light systems). 2. KEY CHARACTERISTICS OF THE FOG