DocumentCode :
3162018
Title :
An empirical study of the multi-queue finite capacity M/G/1 model
Author :
Chen, Mu-Song ; Ho, Tze-Yee ; Hwang, Chipan
Author_Institution :
Dept. of Electr. Eng., Da-Yeh Univ., ChangHua, Taiwan
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
3720
Lastpage :
3723
Abstract :
The M/G/1 model with multiple queues and finite capacity is very common and can be found very often in our daily life. Interesting measures of this model can be the waiting times of messages, mean queue lengths, etc. Usually, these problems are solved by the transformed approach to determine model parameters. Instead of the transformed approach, we present a state-space approach to decide the state probability directly, by solving a set of state transition equations. To justify the accuracy and reliability of the proposed method, our simulation results illustrate the root-mean-squared-error values between the derived state probabilities and the measured quantities from runtime. The small error confirms the applicability of the state-space approach.
Keywords :
mean square error methods; probability; queueing theory; finite capacity; mean queue lengths; multiqueue finite capacity M/G/1 model; root mean squared error values; state probability; state transition equations; state-space approach; Analytical models; Computational modeling; Equations; Markov processes; Mathematical model; Probability; Queueing analysis; M/G/1; finite capacity; multi-queue; state probability; state-space approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6009979
Filename :
6009979
Link To Document :
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