extended-abstract

Estimation of the traffic intensity in a piecewise-stationary Mt/Gt/1 queue with probing

Abstract

We use a probing strategy to estimate the time dependent traffic intensity in an Mt/Gt/1 queue, where the arrival rate and the general service-time distribution change from one time interval to another, and derive statistical properties of the proposed estimator. We present a method to detect a switch from a stationary interval to another using a sequence of probes to improve the estimation. At the end, we compare our results with two estimators proposed in the literature for the M/G/1 queue.

References

  1. F. Baccelli, B. Kauffmann, and D. Veitch. Inverseproblems in queueing theory and internet probing. Queueing Syst., 3(63):59--107, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. T. Karagiannis, M. Molle, M. Faloutsos, and A. Broido. A nonstationary Poisson view of internet traffic. In Proc. of the INFOCOM, pages 1558--1569, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  3. D. S. Matteson and N. A. James. A nonparametric approach for multiple change point analysis of multivariate data. JASA, 109(505):334--345, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  4. S. Y. Nam, S. Kim, and D. K. Sung. Estimation of available bandwidth for an M/G/1 queueing system. Appl. Math. Model., 33(8):3299--3308, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  5. V. Sharma and R. Mazumdar. Estimating traffic parameters in queueing systems with local information. Perform. Eval., 3(32):217--230, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. A. W. van der Vaart. Asymptotic statistics. Cambridge University Press, 2000.Google ScholarGoogle Scholar

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in

Full Access

  • Article Metrics

    • Downloads (Last 12 months)20
    • Downloads (Last 6 weeks)1

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader
About Cookies On This Site

We use cookies to ensure that we give you the best experience on our website.

Learn more

Got it!