A network perspective on assessing system architectures: Robustness to cascading failure

Potts, Matthew W.; Sartor, Pia A.; Johnson, Angus; Bullock, Seth

doi:10.1002/sys.21551

Cited by 17 publications

(12 citation statements)

References 57 publications

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“…The study of robustness is also an integral part of various engineering and socio-ecological systems. [9,10]. Designing robust machines involves integrating specific interactions (feedbacks for example) between the individual components, forming intricate networks.…”

Section: Introductionmentioning

confidence: 99%

Robustness in regulatory networks of Epithelial Mesenchymal Plasticity as a function of positive and negative feedback loops

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Moger

Hari

et al. 2021

Preprint

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Biological networks are widely reported to be robust to both external and internal perturbations. However, the exact mechanisms and design principles that enable robustness are not yet fully understood. Here we investigated dynamic and structural robustness in biological networks with regards to phenotypic distribution and plasticity. We use two different approaches to simulate these networks: a computationally inexpensive, parameter-independent continuous model, and an ODE-based parameter-agnostic framework (RACIPE), both of which yield similar phenotypic distributions. Using perturbations to network topology and by varying network parameters, we show that multistable biological networks are structurally and dynamically more robust as compared to their randomized counterparts. These features of robustness are governed by an interplay of positive and negative feedback loops embedded in these networks. Using a combination of the number of negative and positive feedback loops weighted by their lengths and sign, we identified a metric that can explain the structural and dynamical robustness of these networks. This metric enabled us to compare networks across multiple sizes, and the network principles thus obtained can be used to identify fragilities in large networks without simulating their dynamics. Our analysis highlights a network topology based approach to quantify robustness in multistable biological networks.

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Section: Introductionmentioning

confidence: 99%

Robustness in regulatory networks of Epithelial Mesenchymal Plasticity as a function of positive and negative feedback loops

Hebbar

Moger

Hari

et al. 2021

Preprint

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“…e network communication performance is the sum of the performance of each node, expressed in S(t) [47][48][49]:…”

Section: Results and Analysis Of Cascading Failure Experimentmentioning

confidence: 99%

Study on Cascading Failure and Elasticity of UAV Swarm Communication Network

Feng

Lin

Zhang

2022

Mathematical Problems in Engineering

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As an important new force in information warfare, the UAV swarm has attracted more and more attention from militarists and scholars of various countries. At present, large-scale and low-cost UAV swarms have been gradually applied to reconnaissance operations. The invulnerability and elasticity of its communication network are the key factors that determine whether the swarm can successfully complete the reconnaissance mission. The research object of this study is the UAV swarm communication network, which performs reconnaissance missions. The swarm network is extracted as a three-layer interdependent network model. We apply scale-free network theory and the new connection probability equation to establish three subnetworks. Then, a three-layer interdependent network is constructed by using the interlayer connection rules of the nodes with the largest degree. The classical M-L model is extended to an interdependent network. An interlayer load redistribution rule is proposed to simulate the cascading failure process of swarm networks. Then, we attack network nodes randomly and observe the invulnerability and elasticity of this network. The simulation results show that the performance of the interdependent network is better than that of the single-layer network due to the effect of the interdependent links. By analyzing the experimental results, some feasible suggestions are put forward to improve the invulnerability and elasticity of reconnaissance UAV swarm communication network.

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“…Because of the difficulty of directly measuring quality attributes, 20 the use of inherent aspects of the architecture as proxies for quality attributes has drawn significant attention. For example, the relationships between a system's components described by a Design Structure Matrix (DSM) have been used to evaluate the response of the architecture to design changes 30–33 .…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, while the authors framed the work within the importance of architecting for the ilities, there is no insight as to how those metrics are related to the ilities that the system under study exhibits. In fact, in an effort to correlate these types of proxies with cascading failure, Potts, Sartor, Johnson and Bullock 20 recognized that the activity is far from straightforward and claimed that they could not find any valuable architectural conclusion from such proxies with high confidence. In contrast, others have had success, such as in a similar study with software systems, 36 demonstrating the existence of correlations.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For example, there are many approaches to measuring ilities that rely on arbitrary scores 17–19 where the relationship between the scores and the ilities are not validated. Other approaches rely on using parameterizations of the architecture as proxies for the ilities, but fail to validate the fidelity of such proxies (e.g., 20 ), or on comprehensive models of the system solution, which already instantiates the architecture (e.g., 21 ). Regardless, in most evaluation methods, “the judgment of goodness seems to be assignable only after the architecture has already been developed” 22 .…”

Section: Introductionmentioning

confidence: 99%

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An experimentation framework for validating architectural properties as proxies for the ilities

Salado

2022

Systems Engineering

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Desired system ilities, understood as lifecycle properties, generally drive the value of a system's architecture. However, ilities are hard to predict during system architecture development before the architecture has been instantiated with a system design. In this paper, an experimentation framework that can be employed to validate the adequacy of using architectural properties as proxies for ilities is presented. The experimentation framework builds upon a theoretical, generic conceptualization of ilities, which helps to formally justify the difficulties of and limitations in predicting how architectural choices influence system ilities. Application of the experimental framework is showcased with a notional scenario, where the framework is used to evaluate how different system topologies influence the integrability of a system.

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A network perspective on assessing system architectures: Robustness to cascading failure

Cited by 17 publications

References 57 publications

Robustness in regulatory networks of Epithelial Mesenchymal Plasticity as a function of positive and negative feedback loops

Robustness in regulatory networks of Epithelial Mesenchymal Plasticity as a function of positive and negative feedback loops

Study on Cascading Failure and Elasticity of UAV Swarm Communication Network

An experimentation framework for validating architectural properties as proxies for the ilities

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