Analysis of Fluid Model Modulated by an M/PH/1 Working Vacation Queue

Xiuli Xu , Huining Wang

Journal of Systems Science and Systems Engineering ›› 2019, Vol. 28 ›› Issue (2) : 132 -140.

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Journal of Systems Science and Systems Engineering ›› 2019, Vol. 28 ›› Issue (2) : 132 -140. DOI: 10.1007/s11518-018-5396-2
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Analysis of Fluid Model Modulated by an M/PH/1 Working Vacation Queue

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Abstract

We propose a fluid model driven by the queue length process of a working vacation queue with PH service distribution, which can be applied to the Ad Hoc network with every data group. We obtain the stationary distribution of the queue length in driving process based on a quasi-birth-and-death process. Then, we analyze the fluid model, and derive the differential equations satisfied by the stationary joint distribution of the fluid queue based on the balance equation. Moreover, we obtain some performance indices, such as, the average throughput, server utilization and the mean buffer content. These indices are relevant to pack transmission in the network, and they can be obtained by using the Laplace Transform (LT) and the Laplace-Stieltjes Transform (LST). Finally, some numerical examples have been discussed with respect to the effect of several parameters on the system performance indices.

Keywords

Fluid model / M/PH/1 queue / average throughput / server utilization / buffer content / Ad Hoc network

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Xiuli Xu, Huining Wang. Analysis of Fluid Model Modulated by an M/PH/1 Working Vacation Queue. Journal of Systems Science and Systems Engineering, 2019, 28(2): 132-140 DOI:10.1007/s11518-018-5396-2

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References

[1]

Adan I, Resing J. Simple analysis of a fluid queue driven by an M/M/1 queue. Queueing Systems, 1996, 22(1): 171-174.

[2]

Ammar S. Analysis of an M/M/1driven fluid queue with multiple exponential vacations. Applied Mathematics and Computation, 2014, 227(2): 329-334.

[3]

Barbot N, Sericola B. Stationary solution to the fluid queue fed by an M/M/1 queue. Journal of Applied Probability, 2002, 39(2): 359-369.

[4]

Barron Y. Performance analysis of a reflected fluid production/inventory model. Mathematical Methods of Operations Research, 2016, 83(1): 1-31.

[5]

Economou A, Manou A. Strategic behavior in an observable fluid queue with an alternating service process. European Journal of Operational Research, 2016, 254(1): 148-160.

[6]

Irnich T, Stuckmann P. Fluid-flow modelling of internet traffic in GSM/GPRS networks. Computer Communications, 2003, 26(15): 1756-1763.

[7]

Kulkarni V. Fluid models for single buffer systems. Fronties in Queueing Models and Applications in Science and Engineering, 1997, Florida: CRC Press, Boca Raton 321-338.

[8]

Li Q, Zhao Y Q. Block-structured fluid queues driven by QBD processes. Stochastic Analysis and Applications, 2005, 23(6): 1087-1112.

[9]

Liu Y, Whitt W. Algorithms for time-varying networks of many-server fluid queues. Informs Journal on Computing, 2013, 26(1): 59-73.

[10]

Mao B, Wang F, Tian N. Fluid model driven by an M/G/1 queue with multiple exponential vacations. Applied Mathematics and Computation, 2011, 218(8): 4041-4048.

[11]

Parthasarathy P, Vijayashree K, Lenin R. An M/M/1 driven fluid queue-continued fraction approach. Queueing Systems, 2002, 42(2): 189-199.

[12]

Virtamo J, Norros I. Fluid queue driven by an M/M/1 queue. Queueing Systems, 1994, 16(3): 373-386.

[13]

Xu X, Geng J, Liu M, Guo H. Stationary analysis for the fluid model driven by theM/M/c working vacation queue. Journal of Mathematical Analysis and Applications, 2013, 403(2): 423-433.

[14]

Xu X, Song X, Jing X, Ma S. Fluid model driven by a PH/M/1 queue. Journal of Systems Science and Mathematical Sciences, 2017, 37(3): 838-845.

[15]

Yan K. Fluid Models for Production-inventory Systems, 2006, North, Carolina: University of North Carolina at Chapel Hill

[16]

Yang S. The M/M/1 with N-policy and M/PH/1 working vacation queues, 2008, Qinhuangdao: Yanshan University

[17]

Zhou Z, Xiao Y, Wang D. Stability analysis of wireless network with improved fluid model. Journal of Systems Engineering and Electronics, 2015, 26(6): 1149-1158.

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