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Web metrics for the...
Web metrics for the next generation performance enhancing proxies
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- Arvidsson, Åke (författare)
- Kristianstad University, Kristianstad, Sweden.,Research environment of Computer science,Department of Computer Science,Avdelningen för datavetenskap
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- Grinnemo, Karl-Johan, 1968- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO, Computer Networking,Karlstad University
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- Chen, Eric (författare)
- Kristianstad University, Kristianstad, Sweden.,Department of Computer Science,Research environment of Computer science,Avdelningen för datavetenskap
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- Qinghua, Wang (författare)
- Kristianstad University, Kristianstad, Sweden.,Research environment of Computer science,Department of Computer Science,Avdelningen för datavetenskap
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- Brunström, Anna, 1967- (författare)
- Karlstads universitet,Centrum för HumanIT,Institutionen för matematik och datavetenskap (from 2013),DISCO, Computer Networking,Karlstad University
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Kristianstad University, Kristianstad, Sweden Research environment of Computer science (creator_code:org_t)
- IEEE, 2019
- 2019
- Engelska.
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Ingår i: 2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). - : IEEE. - 9789532900880 - 9781728137117 ; , s. 171-176
- Relaterad länk:
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https://doi.org/10.2...
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http://softcom2019.f...
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https://kau.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.2...
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Abstract
Ämnesord
Stäng
- The fast growth of Internet traffic, the growingimportance of cellular accesses and the escalating competitionbetween content providers and network operators result in agrowing interest in improving network performance and userexperience. In terms of network transport, different solutionsranging from tuning TCP to installing middleboxes are applied.It turns out, however, that the practical results sometimes aredisappointing and we believe that poor testing is one of thereasons for this. Indeed, many cases in the literature limittesting to the simple and rare use case of a single file download,while common and complex use cases like web browsing oftenare ignored or modelled only by considering smaller files. Tofacilitate better testing, we present a set of metrics by whichthe complexity around web pages can be characterised andthe potential for different optimisations can be estimated. Wealso derive numerical values of these metrics for a small set ofpopular web pages and study similarities and differences betweenpages with the same kind of content (newspapers, e-commerceand video) and between pages designed for the same platform(computer and smartphone).
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Performance enhancing proxy
- web metrics
- traffic model
- flow concurrency
- congestion control
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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