DHT-based Edge and Fog Computing Systems: Infrastructures and Applications

TL;DR

This paper reviews the latest DHT-based architectures in edge and fog computing, highlighting their roles in improving system scalability, efficiency, and application-specific functionalities, and discusses future research directions.

Contribution

It provides the first comprehensive analysis of DHT-based edge and fog computing architectures, covering infrastructure and application aspects, and identifies open problems and future research opportunities.

Findings

DHT-based solutions enhance scalability and efficiency.

DHT architectures support application-specific functionalities.

Open problems and future research directions are discussed.

Abstract

Intending to support new emerging applications with latency requirements below what can be offered by the cloud data centers, the edge and fog computing paradigms have reared. In such systems, the real-time instant data is processed closer to the edge of the network, instead of the remote data centers. With the advances in edge and fog computing systems, novel and efficient solutions based on Distributed Hash Tables (DHTs) emerge and play critical roles in system design. Several DHT-based solutions have been proposed to either augment the scalability and efficiency of edge and fog computing infrastructures or to enable application-specific functionalities such as task and resource management. This paper presents the first comprehensive study on the state-of-the-art DHT-based architectures in edge and fog computing systems from the lenses of infrastructure and application. Moreover, the paper details the open problems and discusses future research guidelines for the DHT-based edge and fog computing systems.