4.8 Article

Smart Collaborative Balancing for Dependable Network Components in Cyber-Physical Systems

Journal

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 17, Issue 10, Pages 6916-6924

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2020.3029766

Keywords

Mathematical model; Collaboration; Security; Reliability; Bandwidth; Informatics; Channel allocation; Cyber-physical systems (CPSs); dependable network components (DNCs); smart collaborative balancing (SCB); software defined networks (SDNs)

Funding

  1. National Natural Science Foundation of China [62072030]
  2. Soonchunhyang University Research Fund [TII-20-3012]

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In this article, a smart collaborative balancing (SCB) scheme is proposed to dynamically adjust network function orchestration and optimize workflow patterns; Mathematical models and matrix operations are utilized to ensure the capabilities of CPS in terms of bandwidth allocation and invasion defense; Experimental results demonstrate that SCB outperforms benchmarks in service reliability and malicious attack resistance.
The evolution of cyber-physical system (CPS) benefits from substantial supports of many cutting-edge technologies. However, as a significant medium to bridge virtual and reality parts, the dependability of various network components is facing unprecedented challenges and threats. In this article, we propose a smart collaborative balancing (SCB) scheme to dynamically adjust the orchestration of network functions and efficiently optimize the workflow patterns. First, mathematical models of bandwidth allocation for multiuser with appropriate probability distribution are established. Matrix operations are utilized to solve the relevant issues based on individual congestion windows. Invasion defense mechanisms are also provided and discussed. Second, specific procedures of collaboration among different network components are presented. The capabilities of CPS, in terms of bandwidth allocation and invasion defense, are guaranteed via novel queueing policies and access control mechanisms. Third, we build a comprehensive prototype including multiple domains and users for validations. Experimental results in two scenarios illustrate that SCB not only supports service reliability of end hosts with different priorities, but also resists malicious attacks which are targeting the corresponding terminals inside domains. Compared to the benchmarks in software defined networks and traditional Internet, our scheme performs better in both available resource management and abnormal flow recognition aspects.

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