Challenges in designing edge-based middlewares for the Internet of Things: A survey

TL;DR

This survey reviews the rapid growth and diversity of edge-based middleware solutions for IoT, proposing a four-layer architecture and highlighting open challenges and future research directions.

Contribution

It provides a comprehensive review of existing edge middleware platforms and introduces a four-layer architecture for their design.

Findings

Identified key functional components for edge middleware

Proposed a four-layer architectural framework

Highlighted open challenges and future research directions

Abstract

The Internet of Things paradigm connects edge devices via the Internet enabling them to be seamlessly integrated with a wide variety of applications. In recent years, the number of connected devices has grown significantly, along with the volume and variety of data that is being generated by these devices at the edge of the network. An edge-based middleware is defined as a software that serves as an interface between the computational resources and the IoT devices, making communication possible among elements. Such middleware is required to provide the necessary functional components for sensor registration, discovery, workflow composition, and data pre-processing. In recent years, the landscape of the edge middleware platforms has grown exponentially, each of them with different platform requirements, architectures, and features. The core of this survey is a comprehensive review of existing edge middleware solutions. In this regard, we propose a four-layer architecture for the design of edge-based middleware, along with some design goals for each of the proposed layer. The paper concludes with some open challenges and possible future research directions.