Research on resilience measurement and optimization of networked command information system

Yun Zhong, Yongzhuang Zhang, Jieyong Zhang and Lujun Wan

Reliability Engineering and System Safety, 2025, vol. 261, issue C

Abstract: In order to improve the ability of networked command information system to actively absorb disturbances, adapt to adjust and recover and regenerate after encountering risks, this study proposes a novel solution from the perspective of resilience measurement and optimization of functional chain logical relationship on the basis of system function decoupling. First of all, the networked command information system operational pattern and network characteristics are summarized, and the system resilience is analyzed, including the resilience elements (robustness element, recovery element, and responsiveness element) and motives, and the resilience process. Then, the system resilience was measured, and the resilience measurement results were generated based on the analysis of the factors affecting the resilience measurement. Finally, based on the resilience measurement results, system resilience optimization based on node backup, based on structural design, and based on node restoration are carried out, respectively. Through this study, some meaningful conclusions are obtained, which are conducive to guiding the operation and maintenance management of networked command information system.

Keywords: Command information system; System operational pattern; Resilience processes; Resilience measurement; Resilience optimization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832025002492
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:261:y:2025:i:c:s0951832025002492

DOI: 10.1016/j.ress.2025.111048

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().