Obtaining Application-based and Content-based Internet Traffic Statistics

Publication: Research - peer-reviewArticle in proceeding

Abstract

Understanding Internet traffic is crucial in order to facilitate academic research and practical network engineering, e.g. when doing traffic classification, prioritization of traffic, creating realistic scenarios and models for Internet traffic development etc. In this paper we demonstrate how the Volunteer-Based System for Research on the Internet, developed at Aalborg University, is capable of providing detailed statistics of Internet usage. Since an increasing amount of HTTP traffic has been observed during the last few years, the system also supports creating statistics of different kinds of HTTP traffic, like audio, video, file transfers, etc. All statistics can be obtained for individual users of the system, for groups of users, or for all users altogether. This paper presents results with real data collected from a limited number of real users over six months. We demonstrate that the system can be useful for studying characteristics of computer network traffic in application-oriented or content-type-
oriented way, and is now ready for a larger-scale implementation. The paper is concluded with a discussion about various applications of the system and possibilities of further enhancement.
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Details

Understanding Internet traffic is crucial in order to facilitate academic research and practical network engineering, e.g. when doing traffic classification, prioritization of traffic, creating realistic scenarios and models for Internet traffic development etc. In this paper we demonstrate how the Volunteer-Based System for Research on the Internet, developed at Aalborg University, is capable of providing detailed statistics of Internet usage. Since an increasing amount of HTTP traffic has been observed during the last few years, the system also supports creating statistics of different kinds of HTTP traffic, like audio, video, file transfers, etc. All statistics can be obtained for individual users of the system, for groups of users, or for all users altogether. This paper presents results with real data collected from a limited number of real users over six months. We demonstrate that the system can be useful for studying characteristics of computer network traffic in application-oriented or content-type-
oriented way, and is now ready for a larger-scale implementation. The paper is concluded with a discussion about various applications of the system and possibilities of further enhancement.
Original languageEnglish
Title of host publication6th International Conference on Signal Processing and Communication Systems (ICSPCS'12)
Number of pages10
PublisherIEEE Press
Publication date14 Dec 2012
Pages1-10
ISBN (print)978-1-4673-2392-5
ISBN (electronic)978-1-4673-2391-8
DOI
StatePublished - 14 Dec 2012
Event2012 6th International Conference on Signal Processing and Communication Systems - Gold Coast, Australia

Conference

Conference2012 6th International Conference on Signal Processing and Communication Systems
LandAustralia
ByGold Coast
Periode12/12/201214/12/2012

    Keywords

  • Internet traffic, traffic classification, computer networks, per-application statistics, per-content-type statistics

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