TY - JOUR
T1 - Resilience-based component importance and recovery strategy for system-of-systems
AU - Pan, Xing
AU - Jiang, Zhuo
AU - Yang, Yanjing
N1 - Publisher Copyright:
© 2017, Editorial Board of JBUAA. All right reserved.
PY - 2017/9
Y1 - 2017/9
N2 - System-of-systems (SoS) is always under the influence of both intra and extra disruptive events. SoS architecture is the foundation of SoS design and construction, whose resilience is not only an significant indicator to reflect the ability to recover from disruptions, but also an important embodiment of evolution of SoS. Based on resilience, an effective SoS architecture evaluation method was proposed to conduct component importance measures (CIMs). In the method, the resilience of SoS architecture was defined in detail, relevant mathematical models were built, and influence of performance loss and recovery time on component importance were comprehensively weighed. Then, according to analysis of various disruptive events and recovery strategy, an optimized model for SoS resilience based on CIMs was proposed, and the optimized result of the proposed model on recovery capability of SoS was mainly analyzed. Finally, an example of evaluating resilience of SoS was introduced to validate the availability of the proposed model and method, and the final result shows that the optimized recovery strategy contributes to improving the recovery efficiency of SoS greatly.
AB - System-of-systems (SoS) is always under the influence of both intra and extra disruptive events. SoS architecture is the foundation of SoS design and construction, whose resilience is not only an significant indicator to reflect the ability to recover from disruptions, but also an important embodiment of evolution of SoS. Based on resilience, an effective SoS architecture evaluation method was proposed to conduct component importance measures (CIMs). In the method, the resilience of SoS architecture was defined in detail, relevant mathematical models were built, and influence of performance loss and recovery time on component importance were comprehensively weighed. Then, according to analysis of various disruptive events and recovery strategy, an optimized model for SoS resilience based on CIMs was proposed, and the optimized result of the proposed model on recovery capability of SoS was mainly analyzed. Finally, an example of evaluating resilience of SoS was introduced to validate the availability of the proposed model and method, and the final result shows that the optimized recovery strategy contributes to improving the recovery efficiency of SoS greatly.
KW - Component importance measures(CIMs)
KW - Network
KW - Recovery strategy
KW - Resilience
KW - System-of-systems architecture
UR - https://www.scopus.com/pages/publications/85032626036
U2 - 10.13700/j.bh.1001-5965.2016.0727
DO - 10.13700/j.bh.1001-5965.2016.0727
M3 - 文章
AN - SCOPUS:85032626036
SN - 1001-5965
VL - 43
SP - 1713
EP - 1720
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 9
ER -