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Large‐scale systems resilience: A survey and unifying framework
Author(s) -
Shen Lijuan,
Cassottana Beatrice,
Heinimann Hans Rudolf,
Tang Loon Ching
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2634
Subject(s) - resilience (materials science) , robustness (evolution) , computer science , reconfigurability , key (lock) , process (computing) , reliability (semiconductor) , scale (ratio) , measure (data warehouse) , risk analysis (engineering) , reliability engineering , data mining , engineering , computer security , geography , business , physics , telecommunications , biochemistry , chemistry , power (physics) , cartography , quantum mechanics , gene , operating system , thermodynamics
A unifying framework in defining and measuring resilience has been an intense research topic. In this paper, resilience is measured as a function of intrinsic capacities of a system, the effectiveness of recovery, and the extrinsic random shock process. Some existing resilience measures are analyzed as special cases of the proposed unifying measure. Then, we develop a framework in which the key constituents in achieving resilience are identified. Resilience is represented by four key dimensions: reliability, robustness, recovery, and reconfigurability. Finally, some practical and specific strategies are proposed to enhance the resilience of critical infrastructure systems under the proposed framework.