Authors:
Roberto García
;
Victor García
;
Xabiel García
;
David Melendi
and
Jesús Pérez
Affiliation:
University of Oviedo, Spain
Keyword(s):
Traffic model, applications, validation, fiber networks.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Software Technologies
;
Global Communication Information Systems and Services
;
Internet Services and Applications
;
Mobile Software and Services
;
Software Engineering
;
Telecommunication Software Systems, Tools and Languages
;
Telecommunications
;
Wireless Information Networks and Systems
Abstract:
This paper provides a strategy to create accurate and complete models of cable networks for voice and data transmission. Also, a model of the traffic generated in a fiber broadband access network is implemented, representing the use that network subscribers make of the system. Traffic models are essential for the performance evaluation of telecommunications networks. Broadband access networks need an accurate estimation to guarantee an acceptable Quality of Service (QoS) level to the subscribers. Therefore, traffic models need to be accurate and able to represent the statistical characteristics of the real traffic. The simulation of great networks with high traffic volumes requires the establishment of an analysis methodology to increase the efficiency in the simulator resources consumption, in order to minimize the simulation run time and the memory consumption without loss of precision in the results. The model developed uses the number of subscribers assigned to each return channe
l. The traffic in each return channel is obtained from the aggregation of the separated traffic streams originated by the user’s applications executed. The results obtained in these processes can be validated using the real data provided by a fiber cable operator. For the accomplishment of the model, the OPNET simulation language has been used. The results have been exported to MATLAB, which permits the execution of all types of statistical analyses, with the aim of both making the verification of the results and the validation of the developed model.
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