Improving Web Sites Performance Using Edge Servers in Fog Computing Architecture

TLDR

The paper investigates web optimization in Fog Computing, aiming to dynamically adapt to user conditions such as network status and device load. It combines existing web optimization methods with edge‑specific knowledge at Fog nodes, enabling dynamic adaptation based on network status and device computing load. This approach improves user web page rendering performance beyond what is achieved by applying the methods at web servers or CDNs alone.

Abstract

In this paper, we consider web optimization within Fog Computing context. We apply existing methods for web optimization in a novel manner, such that these methods can be combined with unique knowledge that is only available at the edge (Fog) nodes. More dynamic adaptation to the user's conditions (eg. network status and device's computing load) can also be accomplished with network edge specific knowledge. As a result, a user's web page rendering performance is improved beyond that achieved by simply applying those methods at the web server or CDNs.