[Paper Review] Industrial Edge-based Cyber-Physical Systems -- Application Needs and Concerns for Realization

Martin Törngren, H.A. Thompson+4 more|arXiv (Cornell University)|Jan 1, 2022

Smart Grid Security and Resilience8 citations

TL;DR

This paper investigates the role of edge computing in industrial Cyber-Physical Systems (CPS) across four domains—manufacturing, transportation, energy, and defense—by analyzing application-specific needs and implementation challenges. It identifies key requirements for low-latency, reliable, and secure edge-based systems and proposes a framework to guide future development, emphasizing the need for integration with existing industrial and cloud infrastructures to enable real-time, collaborative CPS applications.

ABSTRACT

Industry is moving towards advanced Cyber-Physical Systems (CPS), with trends in smartness, automation, connectivity and collaboration. We examine the drivers and requirements for the use of edge computing in critical industrial applications. Our purpose is to provide a better understanding of industrial needs and to initiate a discussion on what role edge computing could take, complementing current industrial and embedded systems, and the cloud. Four domains are chosen for analysis with representative use-cases; manufacturing, transportation, the energy sector and networked applications in the defense domain. We further discuss challenges, open issues and suggested directions that are needed to pave the way for the use of edge computing in industrial CPS.

Motivation & Objective

• To identify and analyze the specific application needs driving the adoption of edge computing in industrial Cyber-Phyiscal Systems (CPS).
• To examine the technical and operational challenges in deploying edge computing for mission-critical industrial applications.
• To explore how edge computing can complement existing industrial systems and cloud architectures in CPS environments.
• To provide a cross-domain understanding of edge computing requirements through representative use cases in key industrial sectors.
• To initiate a discussion on open issues and future research directions for industrial edge-based CPS.

Proposed method

• Selected four industrial domains—manufacturing, transportation, energy, and defense—for in-depth analysis of representative CPS use cases.
• Mapped application-specific requirements such as latency, reliability, security, and real-time coordination to edge computing capabilities.
• Evaluated the role of edge in reducing dependency on cloud-only architectures by enabling local data processing and decision-making.
• Identified architectural patterns and system-level concerns critical for edge deployment in industrial CPS.
• Discussed integration challenges between edge, industrial control systems, and cloud platforms.
• Proposed a framework for guiding future research and development based on cross-domain insights and open issues.

Experimental results

Research questions

• RQ1 What are the key application-specific requirements driving the need for edge computing in industrial CPS?
• RQ2 How can edge computing enhance performance and reliability in time-critical industrial applications compared to cloud-only or embedded-only solutions?
• RQ3 What are the major technical and architectural challenges in deploying edge computing in industrial CPS across different domains?
• RQ4 How can edge systems be effectively integrated with existing industrial control systems and cloud infrastructures?
• RQ5 What open research issues and future directions are necessary to enable widespread adoption of edge-based CPS in industry?

Key findings

• Edge computing is essential for achieving sub-millisecond latency and high reliability in industrial CPS, particularly in time-critical applications.
• The integration of edge with industrial control systems and cloud platforms enables scalable, resilient, and responsive CPS architectures.
• Security, determinism, and interoperability are critical challenges that must be addressed to ensure trust and safety in industrial edge deployments.
• Use cases in manufacturing, transportation, energy, and defense demonstrate diverse but overlapping requirements for low-latency, real-time processing.
• A cross-domain analysis reveals that edge computing must be designed with domain-specific constraints in mind, including fault tolerance and deterministic behavior.
• Future research must focus on standardized edge system models, secure edge orchestration, and co-design of edge, control, and communication layers.