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Performance Evaluation of Three-Node Tandem Communication Network Model with Feedback for First Two nodes Having Non Homogeneous Poisson Arrivals

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 12
Year of Publication: 2014
Authors:
G. Naga Satish
Ch. V. Raghavendran
M. V. Rama Sundari
P. Suresh Varma
10.5120/17236-7564

Naga G Satish, Ch. V Raghavendran, Rama M V Sundari and Suresh P Varma. Article: Performance Evaluation of Three-Node Tandem Communication Network Model with Feedback for First Two nodes Having Non Homogeneous Poisson Arrivals. International Journal of Computer Applications 98(12):26-36, July 2014. Full text available. BibTeX

@article{key:article,
	author = {G. Naga Satish and Ch. V. Raghavendran and M. V. Rama Sundari and P. Suresh Varma},
	title = {Article: Performance Evaluation of Three-Node Tandem Communication Network Model with Feedback for First Two nodes Having Non Homogeneous Poisson Arrivals},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {12},
	pages = {26-36},
	month = {July},
	note = {Full text available}
}

Abstract

Tandem Queues are widely used in mathematical modeling of random processes describing the operation of Manufacturing systems , supply chains, Computer and telecommunication networks. In many of the communication systems the arrivals are time dependent and can be characterized by a non homogeneous Poisson process. In this paper we developed and analyzed three nodes connected in tandem Queue with feedback for the first and second nodes assuming that arrivals follow non homogeneous Poisson process. Using the difference-differential equations and a probability generating function of the number of packets in the buffer connected to the transmitter the System is analyzed. The System performance is analysed by deriving expressions for the performance measures of the network like mean content of the buffers, mean delays through put, transmitter utilization with mathematical illustrations. The sensitivity analysis of the model reveals that the non homogeneous Poisson arrivals and dynamic bandwidth allocation strategy can reduce burstness in buffer and improve quality of service.

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