A mean-field approach to some Internet-like random networks

Ilkka Norros

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    3 Citations (Scopus)


    A conditionally Poissonian power-law random graph with infinite degree variance is considered as a random network model. A method for elegant analytical computation of accurate approximations for various network characteristics is introduced, based on slight redefinition of the model in terms of non-homogeneous Poisson point processes and on the replacement of certain random variables by their expectations. The applications include characterization of the `top clique' around the node of highest capacity, density of nodes falling outside of the giant component of the random graph, availability of disjoint paths and the distribution of traffic in the network, assuming a traffic matrix following a gravity rule. (13 refs.)
    Original languageEnglish
    Title of host publicationProceedings of the 21st International Teletraffic Congress, ITC 21
    Place of PublicationPiscataway
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages8
    ISBN (Print)978-1-4244-4744-2
    Publication statusPublished - 2009
    MoE publication typeA4 Article in a conference publication
    Event21st International Teletraffic Congress, ITC 21 - Paris, France
    Duration: 15 Sept 200917 Sept 2009


    Conference21st International Teletraffic Congress, ITC 21


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