An Introduction to a Dynamic Data Size Reduction Approach in Fog Servers

Reducing the Internet traffic and consequently providing efficient bandwidth utilization is one of the most important advantages of using Fog computing. This reduction in Internet traffic is done by reducing the amount of the processed data in Fog servers, before transmission to Cloud for further processing and permanent storage. For this purpose, different techniques and methods could be applied to the processed data in Fog servers such as filtering, summarizing and compression. The existing problem is that currently the Fog servers do the data size reduction process statically, which means they apply the same techniques to different types and amount of data provided by different applications. This approach is not suitable as Fog servers could not meet the requirements of different types of applications. For this purpose, we propose a dynamic data size reduction approach in Fog servers which focuses on "compression" for reducing the Internet traffic. Using this approach enables the Fog servers to reduce the size of data in the most efficient way, based on application characteristics and requirements.