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A study on monitoring models for big-data traffic analysis and utilization

Authors
Joo, Hae-JongCho, Moon-TaekLee, Jong-Suk
Issue Date
Jan-2015
Publisher
International Information Institute Ltd.
Keywords
Big-data traffic analysis; Internet traffic monitoring; Network QoS; Traffic monitoring model
Citation
Information (Japan), v.18, no.1, pp 63 - 72
Pages
10
Indexed
SCOPUS
Journal Title
Information (Japan)
Volume
18
Number
1
Start Page
63
End Page
72
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/25582
ISSN
1343-4500
Abstract
The recent expansion of new service platforms such as smart media at home and abroad demands Internet traffic analysis and predictive information with public confidence that can be applied to policies for increased big-data Internet traffic, network QoS (quality of service), etc. according to the implementation of new network services such as LTE. Therefore, in this paper, overseas Internet traffic monitoring and its policies are analyzed, monitoring models focusing on the structures for monitoring big-data Internet traffic and the measurement positions adequate for the domestic circumstances in South Korea are proposed, and such monitoring models are compared and analyzed. The models proposed in this paper provide traffic status analyses and predictive information to the traffic monitoring participants (business providers, institutions, enterprises, and ordinary users) and the government, and are likely to be utilized in promoting the investments for improving the QoS, including traffic management, enhancement, etc. © 2015 International Information Institute.
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College of Engineering > Division of Computer and Telecommunication Engineering > 1. Journal Articles

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