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http://dx.doi.org/10.3745/KIPSTC.2011.18C.1.031

A Study on Traffic Volume Prediction for e-Commerce Systems  

Kim, Jeong-Su (광운대학교 경영정보학과 경영정보학)
Publication Information
The KIPS Transactions:PartC / v.18C, no.1, 2011 , pp. 31-44 More about this Journal
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.
Keywords
Traffic Volume Prediction; Link Load; Virtual Network Environment; Simulation;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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