Performance Improvement of Traffic Classification Based on Application Traffic Locality
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jun-Sang | - |
dc.contributor.author | Yoon, Sung-Ho | - |
dc.contributor.author | Lee, Su-Kang | - |
dc.contributor.author | Won, Youngjoon | - |
dc.contributor.author | Kim, Myung-Sup | - |
dc.date.accessioned | 2021-09-03T20:20:27Z | - |
dc.date.available | 2021-09-03T20:20:27Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2016-09 | - |
dc.identifier.issn | 1016-2364 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/87603 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | INST INFORMATION SCIENCE | - |
dc.title | Performance Improvement of Traffic Classification Based on Application Traffic Locality | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Myung-Sup | - |
dc.identifier.scopusid | 2-s2.0-84992371681 | - |
dc.identifier.wosid | 000383218900007 | - |
dc.identifier.bibliographicCitation | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, v.32, no.5, pp.1241 - 1259 | - |
dc.relation.isPartOf | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING | - |
dc.citation.title | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING | - |
dc.citation.volume | 32 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1241 | - |
dc.citation.endPage | 1259 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.subject.keywordAuthor | network traffic monitoring and analysis | - |
dc.subject.keywordAuthor | internet traffic classification | - |
dc.subject.keywordAuthor | payload signature | - |
dc.subject.keywordAuthor | processing speed | - |
dc.subject.keywordAuthor | application-level traffic | - |
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