TY - GEN
T1 - A Resilience Analysis Method for Distributed System Based on Complex Network
AU - Su, Lin
AU - Wang, Xiaohong
AU - Wang, Lizhi
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The resilience of a distributed system refers to the ability of the system to recover its own behavior and continue to complete its task after suffering from external influence or failure. This paper presents a resilience analysis method based on complex network modeling method to solve the impact of different attack strategies and recovery strategies. Firstly, the complex network model of the system based on the functions of the distributed system, on the basis of the network information data, the anti-destructiveness and recoverable indexes from the process and results are analyzed by analyzing the influence of different strategies on the system resilience. Based on the comprehensive consideration of different attack strategies and recovery strategies, the topology combines the state performance to obtain the resilience element parameters and complete the resilience analysis of the distributed system. The case simulation results show that compared with the existing research, the proposed method models the distributed network based on the correlativity of various components in the cluster system, obtains the complex network model, and then calculates the resilience comprehensive index of the distributed system based on the resilience comprehensive analysis to improve the recovery ability of the system.
AB - The resilience of a distributed system refers to the ability of the system to recover its own behavior and continue to complete its task after suffering from external influence or failure. This paper presents a resilience analysis method based on complex network modeling method to solve the impact of different attack strategies and recovery strategies. Firstly, the complex network model of the system based on the functions of the distributed system, on the basis of the network information data, the anti-destructiveness and recoverable indexes from the process and results are analyzed by analyzing the influence of different strategies on the system resilience. Based on the comprehensive consideration of different attack strategies and recovery strategies, the topology combines the state performance to obtain the resilience element parameters and complete the resilience analysis of the distributed system. The case simulation results show that compared with the existing research, the proposed method models the distributed network based on the correlativity of various components in the cluster system, obtains the complex network model, and then calculates the resilience comprehensive index of the distributed system based on the resilience comprehensive analysis to improve the recovery ability of the system.
KW - cluster system
KW - complex network modeling
KW - distributed systems
KW - resilience analysis
UR - https://www.scopus.com/pages/publications/85124127042
U2 - 10.1109/ICUS52573.2021.9641175
DO - 10.1109/ICUS52573.2021.9641175
M3 - 会议稿件
AN - SCOPUS:85124127042
T3 - Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
SP - 238
EP - 243
BT - Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
Y2 - 15 October 2021 through 17 October 2021
ER -