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

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Rahim TafazolliAuthors Info & Claims

MECOMM '17: Proceedings of the Workshop on Mobile Edge Communications

Pages 31 - 36

https://doi.org/10.1145/3098208.3098214

Published: 09 August 2017 Publication History

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%

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Cited By

Ge CLake DWang NRahulan YTafazolli R(2019)Context-Aware Service Chaining Framework for Over-the-Top Applications in 5G NetworksIEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFCOMW.2019.8845246(50-55)Online publication date: Apr-2019
https://doi.org/10.1109/INFCOMW.2019.8845246
Iwai TNakao A(2018)Demystifying Myths of MEC: Rethinking and Exploring Benefits of Multi-Access/Mobile Edge Computing2018 IEEE 7th International Conference on Cloud Networking (CloudNet)10.1109/CloudNet.2018.8549539(1-4)Online publication date: Oct-2018
https://doi.org/10.1109/CloudNet.2018.8549539

Index Terms

Optimization of Webpage Downloading Performance with Content-aware Mobile Edge Computing
1. Networks
  1. Network components
    1. Middle boxes / network appliances
  2. Network services
    1. In-network processing

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cover image ACM Conferences

MECOMM '17: Proceedings of the Workshop on Mobile Edge Communications

August 2017

67 pages

ISBN:9781450350525

DOI:10.1145/3098208

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

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Published: 09 August 2017

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SIGCOMM '17: ACM SIGCOMM 2017 Conference

August 21, 2017

CA, Los Angeles, USA

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Cited By

Ge CLake DWang NRahulan YTafazolli R(2019)Context-Aware Service Chaining Framework for Over-the-Top Applications in 5G NetworksIEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFCOMW.2019.8845246(50-55)Online publication date: Apr-2019
https://doi.org/10.1109/INFCOMW.2019.8845246
Iwai TNakao A(2018)Demystifying Myths of MEC: Rethinking and Exploring Benefits of Multi-Access/Mobile Edge Computing2018 IEEE 7th International Conference on Cloud Networking (CloudNet)10.1109/CloudNet.2018.8549539(1-4)Online publication date: Oct-2018
https://doi.org/10.1109/CloudNet.2018.8549539

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