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Optimization of Webpage Downloading Performance with Content-aware Mobile Edge Computing

Qian, Peng, Wang, Ning, Oh, Bong-Hwan, Ge, Chang and Tafazolli, Rahim Optimization of Webpage Downloading Performance with Content-aware Mobile Edge Computing In: SIGCOMM 2017 International Workshop on Mobile Edge Communications (MECOMM 2017), 21 Aug 2017, UCLA, Los Angeles, CA, USA.

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Abstract

With increased complexity of webpages nowadays, computation latency incurred by webpage processing during downloading operations has become a newly identified factor that may substantially affect user experiences in a mobile network. In order to tackle this issue, we propose a simple but effective transport-layer optimization technique which requires necessary context information dissemination from the mobile edge computing (MEC) server to user devices where such an algorithm is actually executed. The key novelty in this case is the mobile edge’s knowledge about webpage content characteristics which is able to increase downloading throughput for user QoE enhancement. Our experiment results based on a real LTE-A test-bed show that, when the proportion of computation latency varies between 20% and 50% (which is typical for today’s webpages), the downloading throughput can be improved up to 34.5%, with reduced downloading time by up to 25.1%

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Qian, Pengp.qian@surrey.ac.ukUNSPECIFIED
Wang, NingN.Wang@surrey.ac.ukUNSPECIFIED
Oh, Bong-Hwanb.oh@surrey.ac.ukUNSPECIFIED
Ge, Changc.ge@surrey.ac.ukUNSPECIFIED
Tafazolli, RahimR.Tafazolli@surrey.ac.ukUNSPECIFIED
Identification Number : 10.1145/3098208.3098214
Copyright Disclaimer : © 2017 ACM, Inc.
Uncontrolled Keywords : Mobile computing; Webpage downloading; Computation time
Depositing User : Clive Harris
Date Deposited : 14 Aug 2017 09:45
Last Modified : 22 Aug 2017 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/841903

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