On the multi-scale behavior of packet size distribution in internet backbone network
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Seongjin | - |
dc.contributor.author | Won, Youjip | - |
dc.contributor.author | Shin, Dong-Joon | - |
dc.date.accessioned | 2022-12-21T03:28:00Z | - |
dc.date.available | 2022-12-21T03:28:00Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2008-04 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/178734 | - |
dc.description.abstract | It is critical to adapt clear and representative real world traffic properties as groundwork for the contemporary and emergent future Internet workload generation. Byte count process and packet count process have been regarded as two prominent manifestations of the underlying characteristics of the network traffic. The long-range dependent property of these processes is already widely known. However, inter-relationship between the two processes remains to be discovered. The objective of this work is to investigate packet size aspects of network traffic that are yet to be discovered. This paper introduces bandwidth frequency distribution as an approach to analyze the traffic. It first focuses on Hurst parameter as a means to assess self-similarity. Then, it introduces bandwidth frequency histogram and analyzes the distribution. As a result of analyzing the bandwidth frequency histogram, the observed bandwidth frequency distribution is decided by aggregation of the bandwidth behavior of five packet size distributions. It is found that packet interval distribution is well fitted with Gaussian distribution. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | On the multi-scale behavior of packet size distribution in internet backbone network | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shin, Dong-Joon | - |
dc.identifier.doi | 10.1109/NOMS.2008.4575217 | - |
dc.identifier.scopusid | 2-s2.0-51849086895 | - |
dc.identifier.bibliographicCitation | NOMS 2008 - IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubiquitous Networks and Services, pp.799 - 802 | - |
dc.relation.isPartOf | NOMS 2008 - IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubiquitous Networks and Services | - |
dc.citation.title | NOMS 2008 - IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubiquitous Networks and Services | - |
dc.citation.startPage | 799 | - |
dc.citation.endPage | 802 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Agglomeration | - |
dc.subject.keywordPlus | Bandwidth | - |
dc.subject.keywordPlus | Error analysis | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Packet networks | - |
dc.subject.keywordPlus | Quality of service | - |
dc.subject.keywordPlus | Size distribution | - |
dc.subject.keywordPlus | Telecommunication systems | - |
dc.subject.keywordPlus | Ubiquitous computing | - |
dc.subject.keywordPlus | Bandwidth frequency | - |
dc.subject.keywordPlus | Gaussian | - |
dc.subject.keywordPlus | Hurst parameters | - |
dc.subject.keywordPlus | Internet backbone | - |
dc.subject.keywordPlus | Long-range dependent | - |
dc.subject.keywordPlus | Multi-scale behavior | - |
dc.subject.keywordPlus | Network operations | - |
dc.subject.keywordPlus | Network traffics | - |
dc.subject.keywordPlus | Packet size | - |
dc.subject.keywordPlus | Packet size distribution | - |
dc.subject.keywordPlus | Real-world traffic | - |
dc.subject.keywordPlus | Self similarities | - |
dc.subject.keywordPlus | Ubiquitous networks | - |
dc.subject.keywordPlus | Workload generation | - |
dc.subject.keywordPlus | Network management | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/4575217 | - |
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