Comparing short-memory charts to monitor the traffic intensity of single server queues

DOI10.1515/eqc-2017-0030zbMath1408.62201OpenAlexW2804010085MaRDI QIDQ1757219

Xianqiang Yang

Publication date: 3 January 2019

Published in: Stochastics and Quality Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/eqc-2017-0030

zbMATH Keywords

queuestraffic intensitystatistical process controlphase-type distributionsrun length

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Related Items (1)

Comparing short and long-memory charts to monitor the traffic intensity of single server queues

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Control of traffic intensity in hyperexponential and mixed Erlang queueing systems with a method based on SPRT
• Control of traffic intensity in a queue - a method based on SPRT
• On the linear combination of exponential and gamma random variables
• Markov chain approximation methods in a class of level-crossing problems
• An autoregressive process and its application to queueing model
• Performance analysis of queue length monitoring of M/G/1 systems
• On stochastic ordering and control charts for traffic intensity
• Introduction to Modeling and Analysis of Stochastic Systems
• Adaptive server staffing in the presence of time-varying arrivals: a feed-forward control approach
• Applied Probability and Queues
• A Statistical Technique for the Control of Traffic Intensity in the Queuing Systems M/G/1 and GI/M/1
• An approach to the probability distribution of cusum run length
• Stochastic Processes Occurring in the Theory of Queues and their Analysis by the Method of the Imbedded Markov Chain

This page was built for publication: Comparing short-memory charts to monitor the traffic intensity of single server queues