Evaluating the Capacity of Internet Backbone Network in Terms of the Quality Standard of Internet Phone 


Vol. 33,  No. 10, pp. 928-938, Oct.  2008


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  Abstract

Though services requiring Quality-of-Service (QoS) guarantees such as Voice over Internet Protocol (VoIP) have been widely deployed on the internet, most of internet backbone networks, unfortunately, do not distinguish them from the best-effort services. Thus estimating the effective capacity meaning the traffic volume that the backbone networks maximally accommodate with keeping QoS guarantees for the services is very important for Internet Service Providers. This paper proposes a test-bed based on ns-2 to evaluate the effective capacity of backbone networks and then estimates the effective capacity of an experimental backbone network using the test-bed in terms of the service standard of the VoIP service. The result showed that the effective capacity of the network is estimated as between 12% and 55% of its physical capacity, which is depending on the maximum delay guarantee probability, and strongly affected by not only the type of offered workload but also the quality standard. Especially, it demonstrated that in order to improve the effective capacity the maximum end-to-end delay requirement of the VoIP service needs to be loosened in terms of the probability to guarantee.

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  Cite this article

[IEEE Style]

T. Kim, "Evaluating the Capacity of Internet Backbone Network in Terms of the Quality Standard of Internet Phone," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 10, pp. 928-938, 2008. DOI: .

[ACM Style]

Tae-Joon Kim. 2008. Evaluating the Capacity of Internet Backbone Network in Terms of the Quality Standard of Internet Phone. The Journal of Korean Institute of Communications and Information Sciences, 33, 10, (2008), 928-938. DOI: .

[KICS Style]

Tae-Joon Kim, "Evaluating the Capacity of Internet Backbone Network in Terms of the Quality Standard of Internet Phone," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 10, pp. 928-938, 10. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880