Testing traffic density of a heterogeneous stochastic queueing system using SPRT

SAĞIR M., Sağlam V.

SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, cilt.40, sa.1, ss.32-45, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1080/07474946.2021.1847960
  • Dergi Adı: SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Compendex, zbMATH
  • Sayfa Sayıları: ss.32-45
  • Anahtar Kelimeler: Embedded Markov chain, Gini index, heterogeneous server, SPRT, traffic intensity, MAXIMUM-LIKELIHOOD-ESTIMATION, STATISTICAL-INFERENCE, CONFIDENCE-INTERVALS, INTENSITY
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

We aim to determine the traffic density of the system as a control method in queuing systems and to keep it at the desired level. This article expands the sequential probability ratio test (SPRT) method in the heterogeneous server queuing system, which gives more accurate results in modeling a real-life case. Controlling the traffic density of the heterogeneous server queuing system can be used to determine optimal policies for the system.