Exploring System of Systems Resilience Versus Affordability Trade-Space Using a Bio-Inspired Metric

Chatterjee, Abheek; Malak, Richard J.; Layton, Astrid

doi:10.1115/1.4050288

Cited by 23 publications

(9 citation statements)

References 38 publications

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“…This shift becomes less prominent with the increasing severity of disruptions and is in keeping with results from preliminary investigations. 80,81 Based on these results it appears that both disruption type and severity are governing factors in deciding the most favorable DoSO range for SoS architectures.…”

Section: Analysis Of the Pareto Optimal Sos Architectures In The Resilience Versus Affordability Tradespacementioning

confidence: 96%

Ecology‐inspired resilient and affordable system of systems using degree of system order

Chatterjee

Malak

Layton

2021

Systems Engineering

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An optimal trade-off between resilience (the ability to survive and recover from disruptions) and affordability is highly desirable in System of Systems (SoS) architectures. However, it is difficult to design SoS architectures for these goals as existing resilience evaluation methods require detailed disruption models that are not readily available in the early stages of design. Biological ecosystems (nature's resilient SoS) achieve these goals through a unique balance of efficient and redundant interactions in their architectures-measured using the metric Degree of System Order (DoSO).This research tests if this ecological architecting principle and the DoSO metric are useful for designing resilient and affordable SoS. The resilience versus affordability tradespace of a large number of notional SoS architectures is investigated using the DoSO metric. Results indicate that the majority of Pareto optimal SoS architectures, under various disruptions, lie in the ecologically-identified favorable DoSO range. Further, SoS architectures within this DoSO range were found to have better resilience and affordability attributes, in general, than the architectures outside it. DoSO evaluation does not require knowledge of disruption scenarios and is the first network architecture metric to consider resilience versus affordability trade-offs, making it a valuable addition to the SoS engineering toolset.

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Section: Analysis Of the Pareto Optimal Sos Architectures In The Resilience Versus Affordability Tradespacementioning

confidence: 96%

Ecology‐inspired resilient and affordable system of systems using degree of system order

Chatterjee

Malak

Layton

2021

Systems Engineering

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“…Previously presented in section 4.3.3, ENA is a systems-oriented methodology to analyze interactions among trophic networks. Five stronglydocumented case studies in this review employed ENA [46,81,[85][86][87]. Comprehensive details on ENA methods and metrics are available in [90,97].…”

Section: Enamentioning

confidence: 99%

Design methodologies and engineering applications for ecosystem biomimicry: an interdisciplinary review spanning cyber, physical, and cyber-physical systems

Hinkelman

Yang

2023

Bioinspir. Biomim.

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Ecosystem biomimicry is a promising pathway for sustainable development. However, while typical form- and process-level biomimicry is prevalent, system-level ecosystem biomimicry remains a nascent practice in numerous engineering fields. This critical review takes an interdisciplinary approach to synthesize trends across case studies, evaluate design methodologies, and identify future opportunities when applying ecosystem biomimicry to engineering practices, including cyber systems (CS), physical systems (PS), and cyber-physical systems (CPS). After systematically sourcing publications from major databases, the papers were first analyzed at a meta level for their bibliographic context and for statistical correlations among categorical variables. Then, we investigated deeper into the engineering applications and design methodologies. Results indicate that CPS most frequently mimic organisms and ecosystems, while CS and PS frequently mimic populations-communities and molecules-tissues-organ systems, respectively (statistically highly significant). An indirect approach is most often used for mimicry at organizational levels from populations to ecosystems, while a direct approach frequently suits levels from molecules to organisms (highly significant). Dominant themes across engineering applications include symbiotic organism search algorithms for CS and ecological network analysis for CPS, while PS applications are highly diverse. For design methodologies, this work summarizes and details ten well-documented biomimetic process models among literature, which addresses an outdated concern for a lack of systematic methods for ecosystem biomimicry. In addition to the Biomimetics Standard ISO 18458, these methods include the Natural Step and Techno-Ecological Synergy framework, among others. Further, the analyses revealed future opportunities from less utilized design methods (e.g., interdisciplinary teams tackling indirect, ecosystem-level projects) to well-established engineering concepts ready for technological advancement (e.g., implementing membrane computing for physical applications). For future studies, this review provides a comprehensive reference for ecosystem biomimetic design practices and application opportunities across multiple engineering domains.

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“…This architectural feature is evaluated using an approach called Ecological Network Analysis (ENA, detailed in Section II-B). Investigation of the resilience vs. affordability trade spaces of (> 38000) notional SoS architectures under various disruption scenarios indicated that ecologically-similar SoS architectures had more desirable resilience and affordability attributes [11], [12]. A recent study found promising correlations between SoS resilience and ENA-based metrics (and other graph-theoretic metrics) [13].…”

Section: Introductionmentioning

confidence: 99%

Extending Ecological Network Analysis to Design Resilient Cyber-Physical System of Systems

Chatterjee,

Huang,

Malak

et al. 2024

IEEE Open J. Syst. Eng.

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The design of resilient infrastructure is a critical engineering challenge for the smooth functioning of society. These networks are best described as Cyber-Physical Systems of Systems (CPSoS): integration of independent constituent systems, connected by physical and cyber interactions, to achieve novel capabilities. Bio-inspired design, using a framework called the Ecological Network Analysis (ENA), has been shown to be a promising solution for improving the resilience of engineering networks. However, the existing ENA framework can only account for one type of flow in a network. Thus, it is not yet applicable for the evaluation of CPSoS. The present work addresses this limitation by proposing a novel multigraph model of CPSoS, along with guidelines and modified metrics that enable ENA evaluation of the overall (cyber and physical) network organization of the CPSoS. The application of the extended framework is demonstrated using an energy infrastructure case study. This research lays the critical groundwork for investigating the design of resilient CPSoS using biological ecosystems inspiration.

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Exploring System of Systems Resilience Versus Affordability Trade-Space Using a Bio-Inspired Metric

Cited by 23 publications

References 38 publications

Ecology‐inspired resilient and affordable system of systems using degree of system order

Ecology‐inspired resilient and affordable system of systems using degree of system order

Design methodologies and engineering applications for ecosystem biomimicry: an interdisciplinary review spanning cyber, physical, and cyber-physical systems

Extending Ecological Network Analysis to Design Resilient Cyber-Physical System of Systems

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