IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v464y2024ics0096300323005660.html
   My bibliography  Save this article

Reliability evaluation for bijection-connected networks based on the super Pk-connectivity

Author

Listed:
  • Kung, Tzu-Liang

Abstract

With the need for large-scale networks evolving in a variety of fields, such as cloud/edge computing, social networks, privacy protection, etc., the network's robustness against faulty clusters has recently gained more attention. The family of bijection-connected networks includes numerous instances of remarkable network topologies, for example, hypercubes, Möbius cubes, crossed cubes, etc. For a network whose underlying topology is modeled by a graph G, its node-connectivity, κ(G), is a key performance index of network robustness, which is formalized as the total number of nodes in the smallest node-cut of G. Apparently, κ(G) happens to be bounded above by G's minimum degree. A node-cut is trivial if it is nothing but an arbitrary node's neighborhood. Then, G can be r-connected if 1≤r≤κ(G). To say the least, if each smallest node-cut of G is trivial, G is super connected. The super Pk-connectivity is an innovative assessment to quantify the connectedness level of G, where Pk notates a path consisting of k nodes (k≥1). This article aims to investigate the super Pk-connectivity for the bijection-connected networks. With regard to some specific instances, such as hypercubes, locally twisted cubes, etc., a sufficient and necessary condition is established to identify whether they are really super Pk-connected.

Suggested Citation

  • Kung, Tzu-Liang, 2024. "Reliability evaluation for bijection-connected networks based on the super Pk-connectivity," Applied Mathematics and Computation, Elsevier, vol. 464(C).
  • Handle: RePEc:eee:apmaco:v:464:y:2024:i:c:s0096300323005660
    DOI: 10.1016/j.amc.2023.128397
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300323005660
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2023.128397?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sun-Yuan Hsieh & Chang-Yu Wu, 2010. "Edge-fault-tolerant hamiltonicity of locally twisted cubes under conditional edge faults," Journal of Combinatorial Optimization, Springer, vol. 19(1), pages 16-30, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu-Huei Chang & Jinn-Shyong Yang & Sun-Yuan Hsieh & Jou-Ming Chang & Yue-Li Wang, 2017. "Construction independent spanning trees on locally twisted cubes in parallel," Journal of Combinatorial Optimization, Springer, vol. 33(3), pages 956-967, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:464:y:2024:i:c:s0096300323005660. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.