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Modeling user-perceived service availability

Publication ,  Journal Article
Wang, D; Trivedi, KS
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2005
Published version (DOI)

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. © Springer-Verlag Berlin Heidelberg 2005.

Duke Scholars

Kishor S. Trivedi
Author Kishor S. Trivedi Electrical and Computer Engineering

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/11560333_10

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2005

Volume

3694 LNCS

Start / End Page

107 / 122

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Wang, D., & Trivedi, K. S. (2005). Modeling user-perceived service availability. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3694 LNCS, 107–122. https://doi.org/10.1007/11560333_10
Wang, D., and K. S. Trivedi. “Modeling user-perceived service availability.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3694 LNCS (January 1, 2005): 107–22. https://doi.org/10.1007/11560333_10.
Wang D, Trivedi KS. Modeling user-perceived service availability. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 Jan 1;3694 LNCS:107–22.
Wang, D., and K. S. Trivedi. “Modeling user-perceived service availability.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3694 LNCS, Jan. 2005, pp. 107–22. Scopus, doi:10.1007/11560333_10.
Wang D, Trivedi KS. Modeling user-perceived service availability. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 Jan 1;3694 LNCS:107–122.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/11560333_10

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2005

Volume

3694 LNCS

Start / End Page

107 / 122

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences