On Reducing IoT Service Delay via Fog Offloading

TL;DR

This paper proposes a fog offloading framework and policy to reduce IoT service delay, supported by an analytical model demonstrating its effectiveness in improving QoS for IoT applications.

Contribution

It introduces a general IoT-fog-cloud framework and a novel delay-minimizing offloading policy for fog devices, with analytical evaluation.

Findings

The proposed policy reduces IoT service delay.

Analytical model validates delay improvements.

Framework enhances QoS for IoT applications.

Abstract

With the Internet of Things (IoT) becoming a major component of our daily life, understanding how to improve the quality of service (QoS) for IoT applications through fog computing is becoming an important problem. In this paper, we introduce a general framework for IoT-fog-cloud applications, and propose a delay-minimizing collaboration and offloading policy for fog-capable devices that aims to reduce the service delay for IoT applications. We then develop an analytical model to evaluate our policy and show how the proposed framework helps to reduce IoT service delay.