Cloud Native Computing for Industry 4.0: Challenges and Opportunities

Abstract

Cloud-based architectures are advantageous in aspects such as scalability, reliability and resource utilization efficiency, to name just a few, thus being considered one of the pillars of Industry 4.0. However, in this domain, cloud computing platforms are subject to specific requirements, namely in what concerns real-time performance, determinism and faulttolerance. This paper focuses on cloud native computing, which is an emerging and promising cloud-computing paradigm, specifically addressing its applicability to real-time systems. Firstly, it introduces the architecture of cloud native applications, discussing their principles, potential advantages and challenges. Then it addresses the opportunities and constraints of such technologies when applied to industrial real-time systems.

Blockchain-Based Decentralized Storage Design for Data Confidence Over Cloud-Native Edge Infrastructure

“…The fundamental principle of cloud-native computing involves operating applications or infrastructure on an automated platform designed with a service-based approach that supports scalability, resiliency, and elasticity [24]. Consequently, cloud-native computing architectures have become increasingly complex [25].…”

Real-Time FaaS: serverless computing for Industry 4.0

“…To fully embrace the cloud paradigm in the industry, in terms of also application development, deployment and operations (the so-called devops), it is also emerging the idea of adopting cloud-native solutions, such as containerization and serverless computing, in industrial settings [5].…”