A study on monitoring models for big-data traffic analysis and utilization
- Authors
- Joo, Hae-Jong; Cho, Moon-Taek; Lee, 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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Collections - College of Engineering > Division of Computer and Telecommunication Engineering > 1. Journal Articles

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