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Author: | Yu, Bin |
Title: | Data Compression For Energy-Efficiency Web Access On Mobile Devices |
Publication type: | Master's thesis |
Publication year: | 2013 |
Pages: | ix + 61 Language: eng |
Department/School: | Sähkötekniikan korkeakoulu |
Main subject: | Networking Technology (S3029) |
Supervisor: | Manner, Jukka |
Instructor: | Wang, Le |
Electronic version URL: | http://urn.fi/URN:NBN:fi:aalto-201307127187 |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
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Location: | P1 Ark Aalto 1114 | Archive |
Keywords: | wireless communication web browsing energy efficiency lossless compression web proxy selective compression strategy |
Abstract (eng): | Nowadays, wireless data connections (2G, 3G and WiFi) have been the main- stream technologies for accessing Internet on modern mobile devices. However, users aware that heavy use of data transmission for web access via wireless interfaces leads battery life drain badly. In order to extend battery life time and improve user experience, we present the solution for offering "energy-efficiency web access on mobile devices". A new compression strategy named selective-compression is introduced as an improvement of traditional HTTP compression in this thesis. The selective-compression strategy can properly handle binaries of web contents. And its mechanism relies on client/remote proxy pair structure. From analysis of the experiment results, we make conclusion that the selective-compression strategy can bring nice benefits for energy saving and delay deduction on mobile devices while accessing web pages that include massive binaries. Furthermore, we give the suggestion to web developers and web service providers about how to create energy-efficient web pages. |
ED: | 2013-12-02 |
INSSI record number: 48033
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