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Performance analysis of distributed real-time databases

Publication ,  Journal Article
Fricks, RM; Puliafito, A; Trivedi, KS
Published in: Performance Evaluation
January 1, 1999

In a distributed process control system, information about the behavior of physical processes is usually collected and stored in a real-time database which can be remotely accessed by human operators. In this paper we propose an analytic approach to compute the response-time distribution of operator consoles in a distributed process control environment. The technique we develop is based on Markov regenerative processes (MRGPs) and described with the assistance of deterministic and stochastic Petri nets (DSPNs). We construct exact models for performance analysis of centralized and decentralized database architectures. However, due to limitations on the exact solution, we also propose an approximate solution which is then used to study response-time distributions of large systems.

Duke Scholars

Published In

Performance Evaluation

DOI

ISSN

0166-5316

Publication Date

January 1, 1999

Volume

35

Issue

3

Start / End Page

145 / 169

Related Subject Headings

  • Networking & Telecommunications
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 10 Technology
  • 08 Information and Computing Sciences
  • 01 Mathematical Sciences
 

Citation

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Fricks, R. M., Puliafito, A., & Trivedi, K. S. (1999). Performance analysis of distributed real-time databases. Performance Evaluation, 35(3), 145–169. https://doi.org/10.1016/S0166-5316(99)00008-5
Fricks, R. M., A. Puliafito, and K. S. Trivedi. “Performance analysis of distributed real-time databases.” Performance Evaluation 35, no. 3 (January 1, 1999): 145–69. https://doi.org/10.1016/S0166-5316(99)00008-5.
Fricks RM, Puliafito A, Trivedi KS. Performance analysis of distributed real-time databases. Performance Evaluation. 1999 Jan 1;35(3):145–69.
Fricks, R. M., et al. “Performance analysis of distributed real-time databases.” Performance Evaluation, vol. 35, no. 3, Jan. 1999, pp. 145–69. Scopus, doi:10.1016/S0166-5316(99)00008-5.
Fricks RM, Puliafito A, Trivedi KS. Performance analysis of distributed real-time databases. Performance Evaluation. 1999 Jan 1;35(3):145–169.
Journal cover image

Published In

Performance Evaluation

DOI

ISSN

0166-5316

Publication Date

January 1, 1999

Volume

35

Issue

3

Start / End Page

145 / 169

Related Subject Headings

  • Networking & Telecommunications
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 10 Technology
  • 08 Information and Computing Sciences
  • 01 Mathematical Sciences