Big Data and Fog Computing

TL;DR

This paper discusses fog computing as an intermediary layer between edge devices and cloud data centers, highlighting its benefits for big data applications by balancing resource constraints and network performance.

Contribution

It provides an overview of fog computing's role and advantages in big data processing, emphasizing its position between edge and cloud computing.

Findings

Fog computing offers high uptime and always-on connectivity.

It balances resource constraints and network performance for big data.

Provides a comprehensive overview of fog computing in big data context.

Abstract

Fog computing serves as a computing layer that sits between the edge devices and the cloud in the network topology. They have more compute capacity than the edge but much less so than cloud data centers. They typically have high uptime and always-on Internet connectivity. Applications that make use of the fog can avoid the network performance limitation of cloud computing while being less resource constrained than edge computing. As a result, they offer a useful balance of the current paradigms. This article explores various aspects of fog computing in the context of big data.