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Web metrics for the next generation performance enhancing proxies
Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS). Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
Karlstads universitet.
Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).ORCID iD: 0000-0002-2492-7754
Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS). Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.ORCID iD: 0000-0002-8032-6291
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2019 (English)In: 2019 27TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM) / [ed] Begusic, D Rozic, N Radic, J Saric, M, IEEE , 2019, p. 171-176Conference paper, Published paper (Refereed)
Abstract [en]

The fast growth of Internet traffic, the growing importance of cellular accesses and the escalating competition between content providers and network operators result in a growing interest in improving network performance and user experience. In terms of network transport, different solutions ranging from tuning TCP to installing middleboxes are applied. It turns out, however, that the practical results sometimes are disappointing and we believe that poor testing is one of the reasons for this. Indeed, many cases in the literature limit testing to the simple and rare use case of a single file download, while common and complex use cases like web browsing often are ignored or modelled only by considering smaller files. To facilitate better testing, we present a broader view which includes domain counts, flow counts and different forms of concurrency to better characterise the complexity around web pages, and from which the potential for different optimisation techniques can be estimated. We also derive numerical values of these metrics for a small set of popular web pages and study similarities and differences between pages with the same kind of content (newspapers, e-commerce and video) and between pages designed for the same platform (computer and smartphone).

Place, publisher, year, edition, pages
IEEE , 2019. p. 171-176
Series
International Conference on Software in Telecommunications and Computer Networks, ISSN 1848-1744
Keywords [en]
Performance enhancing proxy, web metrics, traffic model, flow concurrency, congestion control
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hkr:diva-20591ISI: 000528514800031ISBN: 978-953-290-088-0 (print)OAI: oai:DiVA.org:hkr-20591DiVA, id: diva2:1430670
Conference
27th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), SEP 19-21, 2019, Split, CROATIA
Available from: 2020-05-16 Created: 2020-05-16 Last updated: 2020-05-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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