TY - GEN
T1 - Area method used in the evaluation of resilience implementation approaches in system of systems
AU - Pan, Xing
AU - Yang, Yanjing
AU - Jiang, Zhuo
AU - Lin, Ye
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/9/25
Y1 - 2017/9/25
N2 - System of systems (SoS), like transportation systems and combat systems, is integrated by a set of independently operating systems that interact with each other to provide an end-to-end capability, which cannot be achieved by individual systems. Resilience is the ability of an SoS to recover to a desired performance level after disruptive events. Even though many measures have been proposed to evaluate resilience, there is no one general metric that can be used in all situations. Given that what we actually need is the performance process with time, this paper presents an area method to evaluate resilience by calculating the area below the performance curve after disruption. Meanwhile, we propose the SoS operating time, combined with the area method, to identify which of the recovered performance levels and the recovery speeds is more important according to different situations. Finally, the proposed research enables us to evaluate resilience implementation approaches and select the best one.
AB - System of systems (SoS), like transportation systems and combat systems, is integrated by a set of independently operating systems that interact with each other to provide an end-to-end capability, which cannot be achieved by individual systems. Resilience is the ability of an SoS to recover to a desired performance level after disruptive events. Even though many measures have been proposed to evaluate resilience, there is no one general metric that can be used in all situations. Given that what we actually need is the performance process with time, this paper presents an area method to evaluate resilience by calculating the area below the performance curve after disruption. Meanwhile, we propose the SoS operating time, combined with the area method, to identify which of the recovered performance levels and the recovery speeds is more important according to different situations. Finally, the proposed research enables us to evaluate resilience implementation approaches and select the best one.
KW - Area Method
KW - Recovered performance level
KW - Recovery speed
KW - Resilience
KW - SoS operating time
KW - System of Systems
UR - https://www.scopus.com/pages/publications/85032822019
U2 - 10.1109/ICRMS.2016.8050163
DO - 10.1109/ICRMS.2016.8050163
M3 - 会议稿件
AN - SCOPUS:85032822019
T3 - Proceedings of 2016 11th International Conference on Reliability, Maintainability and Safety: Integrating Big Data, Improving Reliability and Serving Personalization, ICRMS 2016
BT - Proceedings of 2016 11th International Conference on Reliability, Maintainability and Safety
A2 - Chen, Wenhua
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Reliability, Maintainability and Safety, ICRMS 2016
Y2 - 26 October 2016 through 28 October 2016
ER -