A Study on Traffic Volume Prediction for e-Commerce Systems


The KIPS Transactions:PartC, Vol. 18, No. 1, pp. 31-44, Feb. 2011
10.3745/KIPSTC.2011.18.1.31,   PDF Download:

Abstract

The applicability of network-based computing depends on the availability of the underlying network bandwidth. Such a growing gap between the capacity of the backbone network and the end users` needs results in a serious bottleneck of the access network in between. As a result, ISP incurs disadvantages in their business. If this situation is known to ISP in advance, or if ISP is able to predict traffic volume end-to-end link high-load zone, ISP and end users would be able to decrease the gap for ISP service quality. In this paper, simulation tools, such as ACE, ADM, and Flow Analysis, were used to be able to perceive traffic volume prediction and end-to-end link high-load zone. In using these simulation tools, we were able to estimate sequential transaction in real-network for e-Commerce. We also imported virtual network environment estimated network data, and create background traffic. In a virtual network environment like this, we were able to find out simulation results for traffic volume prediction and end-to-end link high-load zone according to the increase in the number of users based on virtual network environment.


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Cite this article
[IEEE Style]
J. S. Kim, "A Study on Traffic Volume Prediction for e-Commerce Systems," The KIPS Transactions:PartC, vol. 18, no. 1, pp. 31-44, 2011. DOI: 10.3745/KIPSTC.2011.18.1.31.

[ACM Style]
Jeong Su Kim. 2011. A Study on Traffic Volume Prediction for e-Commerce Systems. The KIPS Transactions:PartC, 18, 1, (2011), 31-44. DOI: 10.3745/KIPSTC.2011.18.1.31.