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A software-defined architecture for control of IoT cyberphysical systems

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Abstract

Based on software-defined principles, we propose a holistic architecture for cyberphysical systems (CPS) and internet of things (IoT) applications, and highlight the merits pertaining to scalability, flexibility, robustness, interoperability, and cyber security. Our design especially capitalizes on the computational units possessed by smart agents, which may be utilized for decentralized control and in-network data processing. We characterize the data flow, communication flow, and control flow that assimilate a set of components such as sensors, actuators, controllers, and coordinators in a systemic programmable fashion. We specifically aim for distributed and decentralized decision-making by spreading the control over several hierarchical layers. In addition, we propose a middleware layer to encapsulate units and services for time-critical operations in highly dynamic environments. We further enlist a multitude of vulnerabilities to cyberattacks, and integrate software-defined solutions for enabling resilience, detection and recovery. In this purview, several controllers cooperate to identify and respond to security threats and abnormal situations in a self-adjusting manner. Last, we illustrate numerical simulations in support of the virtues of a software-defined design for CPS and IoT.

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Notes

  1. We use deterministic linear time-invariant systems with no loss in generality for simplicity of exposition. For the same reason, we assume an undirected communication graph.

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Acknowledgements

This work was supported in part by the Center for Cyber Security at New York University Abu Dhabi.

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Authors and Affiliations

  1. New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, UAE

    Ala’ Darabseh

  2. University of Science and Technology of China, Hefei, 230000, China

    Nikolaos M. Freris

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  1. Ala’ Darabseh
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Correspondence to Nikolaos M. Freris.

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Darabseh, A., Freris, N.M. A software-defined architecture for control of IoT cyberphysical systems. Cluster Comput 22, 1107–1122 (2019). https://doi.org/10.1007/s10586-018-02889-8

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