Worcester Polytechnic Institute Electronic Theses and Dissertations Collection

Title page for ETD etd-0429102-123525


Document Typethesis
Author NameStaake, Thorsten R
URNetd-0429102-123525
TitleIP Traffic Statistics - A Markovian Approach
DegreeMS
DepartmentElectrical & Computer Engineering
Advisors
  • Matthew C. Bromberg, Advisor
  • Donald R. Brown, Committee Member
  • Mark L. Claypool, Committee Member
  • Keywords
  • fit parallel Erlang-K distributions to time series
  • performance of channel assignment procedure
  • Date of Presentation/Defense2002-04-24
    Availability unrestricted

    Abstract

    Data originating from non-voice sources is expected to play an increasingly

    important role in the next generation mobile communication services. To plan

    these networks, a detailed understanding of their traffic load is essential.

    Recent experimental studies have shown that network traffic originating from

    data applications can be self-similar, leading to a different queueing behavior than

    predicted by conventional traffic models. Heavy tailed probability distributions are

    appropriate for capturing this property, but including those random processes in

    a performance analysis makes it difficult and often impossible to find numerical

    results.

    In this thesis three related topics are addressed: It is shown that Markovian

    models with a large state space can be used to describe traffic which is self-similar

    over a large time scale, a Maximum Likelihood approach to fit parallel Erlang-k

    distributions directly to time series is developed, and the performance of a channel

    assignment procedure in a wireless communication network is evaluated using the

    above mentioned techniques to set up a Markovian model. Outcomes of the performance

    analysis are blocking probabilities and latency due to restrictions of the

    channel assignment procedure as well as estimations of the overall bandwidth that

    the system is required to offer in order to support a given number of users.

    Files
  • staake.pdf

  • Browse by Author | Browse by Department | Search all available ETDs

    [WPI] [Library] [Home] [Top]

    Questions? Email etd-questions@wpi.edu
    Maintained by webmaster@wpi.edu