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Modeling User-Perceived Service Availability

  • Conference paper
Service Availability (ISAS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3694))

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Abstract

Service availability is an important consideration when carriers deploy new, packet-based services. In this paper we define the service availability based on user behavior, and derive formulas to compute service availability starting with the user behavior model and the system model. To automatically generate high fidelity user and system models, we use Stochastic Reward Nets (SRNs) and demonstrate how to combine the user SRN model and the system SRN model to analyze the service availability. We apply our approach to an SAF compliant media gateway controller (MGC) architecture in VoIP system. By building and numerically solving the combined SRN model of the MGC and the user, we compute the service availability, and evaluate various factors that influence it.

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Author information

Authors and Affiliations

  1. Duke University, Durham, NC, 27708, USA

    Dazhi Wang & Kishor S. Trivedi

Authors
  1. Dazhi Wang
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  2. Kishor S. Trivedi
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Editor information

Editors and Affiliations

  1. Institut für Informatik, Humboldt-Universität zu, Berlin,  

    Miroslaw Malek

  2. Institut für Verteilte Systeme, Otto-von-Guericke-Universität Magdeburg, Universitätsplatz 2, P.O. Box, 39106, Magdeburg, Germany

    Edgar Nett

  3. Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, D–64289, Darmstadt, Germany

    Neeraj Suri

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© 2005 Springer-Verlag Berlin Heidelberg

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Wang, D., Trivedi, K.S. (2005). Modeling User-Perceived Service Availability. In: Malek, M., Nett, E., Suri, N. (eds) Service Availability. ISAS 2005. Lecture Notes in Computer Science, vol 3694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11560333_10

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  • DOI: https://doi.org/10.1007/11560333_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29103-9

  • Online ISBN: 978-3-540-32018-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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