Industrial Network Topology Generation with Genetic Algorithms

Fischer, Christoph; Berndt, Maximilian; Krummacker, Dennis; Zemitis, Janis; Fraunholz, Daniel; Schotten, Hans D.

doi:10.1109/yef-ece49388.2020.9171812

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…Some earlier works ( [34,54,42,99,19]) use different flavors of genetic algorithms to solve the problem in the context of hierarchical industrial Ethernet networks. Other works, such as Fischer et al [37] and Dengiz et al [32], apply genetic algorithms to the context of distributed networks with mesh or mixed topology. Finally, Zhang et al [96,97] apply the concept of genetic algorithm to industrial multi-ring networks.…”

Section: Topology Generationmentioning

confidence: 99%

“…Furthermore, efficiently identifying suitable platform configurations (or families of such) for IMA systems remains a challenge. Most of the methods proposed in the literature focus on topologies of limited size, fixed structure, and limited flexibility in the choices of hardware modules [42,99,37,6]. Therefore, there is a need to address the problem of topology generation in IMA systems and find methods to navigate this specific search space effectively.…”

Section: Introductionmentioning

confidence: 99%

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Exploring Trade-offs in Concept Design of Integrated Modular Avionic Platform Configurations : Topology Generation, Resource Adequacy, and Dependability

Saar de Moraes

2024

Linköping Studies in Science and Technology. Dissertations

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Modern aircraft heavily depend on computer systems to carry out various tasks. From managing flight surfaces and engines to processing radar and imagery data and facilitating communication with other aircraft and ground stations, computers are involved in almost every aspect of an aircraft's operation. These computer systems, known as Integrated Modular Avionics (IMA) systems, have long life cycles that span several decades and undergo regular updates. Despite this, a significant portion of the overall life cycle costs is determined very early in the life cycle, in the concept design phase.Thank you, Tâmara and Rodrigo, for your friendship, our ski trips, and for making me feel at home despite being far from our beloved state in southern Brazil. Thank you, Letícia and Natália, for your friendship and for reminding me that I can still feel as young as you are. To my other Brazilian friends, Amanda, André (both), Gustavo, Daiane, Priscila, Fabricio, Carlos, and Bianca, thank you for all the uncountable moments we have shared.To Veronika, Emma, and Irene: I want to express my gratitude for our enjoyable moments. Thank you for providing a much-needed break from my studies and papers.Lastly, I would like to express my gratitude to my friends in Brazil. Despite the great distance, you kept in touch, offered encouragement during difficult times, and were present when I needed you. Thanks to Gabrieli, Camila, Roberta, Giovana, and Gisele for always making the time to meet me when I visit.

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Section: Topology Generationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring Trade-offs in Concept Design of Integrated Modular Avionic Platform Configurations : Topology Generation, Resource Adequacy, and Dependability

Saar de Moraes

2024

Linköping Studies in Science and Technology. Dissertations

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“…A negative outcome of the situation can originate from an internal failure or from the system being compromised by an untrusted third party, and the likelihood of these events depends heavily on the system design. Critical examples are autonomous driving or closed loop control of collaborative robots over a wireless network [13]. The trust is considered to be confirmed when a specific task has been (transparently) fulfilled, respecting any constraints like security, semantic validity of returned data or the expected Quality of Experience (QoE) of an application.…”

Section: Human -Humanmentioning

confidence: 99%

The Road to Trustworthy 6G: A Survey on Trust Anchor Technologies

Krummacker

Schotten

2023

IEEE Open J. Commun. Soc.

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While 5G networks are driving a growing number of use cases in the fields of Internet of Things (IoT) and industrial applications, the vision of the next generation of mobile communications systems already includes concepts massively transforming the way people will interact with the digital world through the network, as humans are shifting into the center of diverse network driven applications. Envisaged use cases and possibilities to provide services and resources in a distributed manner render an architectural solution for trust establishment a critical component of 6G networks. This survey provides an overview of terms and visions related to the topic of trust in general and in mobile communications systems. Requirements for an end-to-end trust building framework are derived, in order to give a starting point for the design process of a trust anchor service as a component of 6G networks.

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Industrial Network Topology Generation with Genetic Algorithms

Cited by 2 publications

References 12 publications

Exploring Trade-offs in Concept Design of Integrated Modular Avionic Platform Configurations : Topology Generation, Resource Adequacy, and Dependability

Exploring Trade-offs in Concept Design of Integrated Modular Avionic Platform Configurations : Topology Generation, Resource Adequacy, and Dependability

The Road to Trustworthy 6G: A Survey on Trust Anchor Technologies

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