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

Authors
Song, FeiAi, ZhengyangZhang, HaoweiYou, IlsunLi, Shiyong
Issue Date
Oct-2021
Publisher
Institute of Electrical and Electronics Engineers
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)
Citation
IEEE Transactions on Industrial Informatics, v.17, no.10, pp 6916 - 6924
Pages
9
Journal Title
IEEE Transactions on Industrial Informatics
Volume
17
Number
10
Start Page
6916
End Page
6924
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/18676
DOI
10.1109/TII.2020.3029766
ISSN
1551-3203
1941-0050
Abstract
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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