Performance Improvement of Traffic Classification Based on Application Traffic Locality
- Authors
- Park, Jun-Sang; Yoon, Sung-Ho; Lee, Su-Kang; Won, Youngjoon; Kim, Myung-Sup
- Issue Date
- Sep-2016
- Publisher
- INST INFORMATION SCIENCE
- Keywords
- network traffic monitoring and analysis; internet traffic classification; payload signature; processing speed; application-level traffic
- Citation
- JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, v.32, no.5, pp.1241 - 1259
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
- Volume
- 32
- Number
- 5
- Start Page
- 1241
- End Page
- 1259
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154008
- ISSN
- 1016-2364
- Abstract
- Application-level traffic classification is an essential requirement for stable network operation and resource management. The payload signature-based classifier is considered a reliable method for Internet traffic classification. However, with this system, processing speeds are slower when high volumes of traffic are being classified in high-speed networks in real time. In this paper, we propose a method for server IP-port pair cache based traffic classification, with the aim of increasing the processing speed and completeness of payload signature-based traffic classification. This approach takes application traffic locality into consideration. Moreover, we propose a cache data management method that has the purpose of minimizing the utilization of cache memory and processing speed and maximizing level of completeness. When our proposed method was applied to a campus network, we observe 10 times improvement in processing speed and 10% increasing in completeness against the payload signature-based classifier without a server IP-Port pair cache.
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