Self-healing ring networks: gateway to public information networking

Towster, H.; Stephenson, Richard W.; Morgan, S. Philip; Keller, M.; Mayer, Robert Lyon; Shalayda, R.

doi:10.1109/35.56229

Cited by 5 publications

(1 citation statement)

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“…A failure may arise because a communications link is disconnected or a network node becomes incapacitated. Failures may occur in military networks under attack [26], as well as in public networks where failures, albeit rare, can be extremely disruptive [61]. For high-speed networks, rapid recovery from failure is important, as even a short down time may entail the loss of much data.…”

Section: Introductionmentioning

confidence: 99%

Redundant trees for preplanned recovery in arbitrary vertex-redundant or edge-redundant graphs

Médard

Finn²,

Barry³

et al. 1999

IEEE/ACM Trans. Networking

264

195

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Abstract-We present a new algorithm which creates redundant trees on arbitrary node-redundant or link-redundant networks. These trees are such that any node is connected to the common root of the trees by at least one of the trees in case of node or link failure. Our scheme provides rapid preplanned recovery of communications with great flexibility in the topology design. Unlike previous algorithms, our algorithm can establish two redundant trees in the case of a node failing in the network. In the case of failure of a communications link, our algorithm provides a superset of the previously known trees.

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Section: Introductionmentioning

confidence: 99%

Redundant trees for preplanned recovery in arbitrary vertex-redundant or edge-redundant graphs

Médard

Finn²,

Barry³

et al. 1999

IEEE/ACM Trans. Networking

264

195

View full text Add to dashboard Cite

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Digital twins for engineering structures—An Industry 4.0 perspective

Wimmer,

Braml

2024

Structural Concrete

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The term “digital twin” is becoming increasingly prevalent in both research and politics with regard to infrastructure structures. Industry is making significant advancements in the fields of automation and autonomy. While numerous definitions are in circulation, some of which are identical, many are similar in nature. This work examines the digital twin from its original industry perspective and considers its relevance to the constructional engineering sector. The objective of this study is to provide an overview of the current approaches in the Industry 4.0 and constructional engineering industry, examining the associated technical opportunities and challenges. The study compares the definitions, requirements and projects executed in this field. The technologies under examination are contrasted on the basis of their position within the data model. The preliminary findings suggest that some solutions for Industry 4.0 have already been developed for the construction engineering sector. However, it must be acknowledged that some solutions have yet to be fully validated.

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