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Network performance of smart mobile handhelds in a university campus WiFi network

Authors:

Wei WeiAuthors Info & Claims

IMC '12: Proceedings of the 2012 Internet Measurement Conference

Pages 315 - 328

https://doi.org/10.1145/2398776.2398809

Published: 14 November 2012 Publication History

Abstract

Smart mobile handheld devices (MHDs) such as smartphones have been used for a wide range of applications. Despite the recent flurry of research on various aspects of smart MHDs, little is known about their network performance in WiFi networks. In this paper, we measure the network performance of smart MHDs inside a university campus WiFi network, and identify the dominant factors that affect the network performance. Specifically, we analyze 2.9TB of data collected over three days by a monitor that is located at a gateway router of the network, and make the following findings: (1) Compared to non-handheld devices (NHDs), MHDs use well provisioned Akamai and Google servers more heavily, which boosts the overall network performance of MHDs. Furthermore, MHD flows, particularly short flows, benefit from the large initial congestion window that has been adopted by Akamai and Google servers. (2) MHDs tend to have larger local delays inside the WiFi network and are more adversely affected by the number of concurrent flows. (3) Earlier versions of Android OS (before 4.X) cannot take advantage of the large initial congestion window adopted by many servers. On the other hand, the large receive window adopted by iOS is not fully utilized by most flows, potentially leading to waste of resources. (4) Some application-level protocols cause inefficient use of network and operating system resources of MHDs in WiFi networks. Our observations provide valuable insights on content distribution, server provisioning, MHD system design, and application-level protocol design.

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Yu MBurke QLa Porta TMcDaniel P(2023)mMLSnet: Multilevel Security Network with MobilityMILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)10.1109/MILCOM58377.2023.10356279(821-826)Online publication date: 30-Oct-2023
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Index Terms

Network performance of smart mobile handhelds in a university campus WiFi network
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement

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Information

Published In

cover image ACM Conferences

IMC '12: Proceedings of the 2012 Internet Measurement Conference

November 2012

572 pages

ISBN:9781450317054

DOI:10.1145/2398776

General Chairs:
John Byers
Boston University
,
Jim Kurose
University of Massachusetts Amherst
,
Program Chairs:
Ratul Mahajan
Microsoft Research
,
Alex C. Snoeren
UC San Diego

Copyright © 2012 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]

Sponsors

SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGCOMM: ACM Special Interest Group on Data Communication
USENIX Assoc: USENIX Assoc

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 November 2012

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IMC '12

Sponsor:

SIGMETRICS
SIGCOMM
USENIX Assoc

IMC '12: Internet Measurement Conference

November 14 - 16, 2012

Massachusetts, Boston, USA

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Overall Acceptance Rate 277 of 1,083 submissions, 26%

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Cited By

Yu MBurke QLa Porta TMcDaniel P(2023)mMLSnet: Multilevel Security Network with MobilityMILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)10.1109/MILCOM58377.2023.10356279(821-826)Online publication date: 30-Oct-2023
https://doi.org/10.1109/MILCOM58377.2023.10356279
Thakur NKunte A(2022)Study of the MPTCP Configuration Environment2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)10.1109/ICACCS54159.2022.9785359(1193-1196)Online publication date: 25-Mar-2022
https://doi.org/10.1109/ICACCS54159.2022.9785359
Wang HGao TDang WXue JCao JLi FWang J(2021)Hopping on Spectrum: Measuring and Boosting a Large-scale Dual-band Wireless Network2021 IEEE 29th International Conference on Network Protocols (ICNP)10.1109/ICNP52444.2021.9651921(1-11)Online publication date: 1-Nov-2021
https://doi.org/10.1109/ICNP52444.2021.9651921
Hartshorn CAl-Shaikhli WMehr SCummins DTamarapalli VMedhi D(2021)Developing Models from Measurements in a Noisy Environment: Lessons from an Indoor Wi-Fi Measurement Study on Application Performance2021 International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN52240.2021.9522237(1-9)Online publication date: Jul-2021
https://doi.org/10.1109/ICCCN52240.2021.9522237
Cordero DBorsic ZIcaza DFarfán C(2021)Web Accessibility for Socioeconomic and Education Development in Excluded Areas of Eastern EcuadorPerspectives and Trends in Education and Technology10.1007/978-981-16-5063-5_35(433-444)Online publication date: 17-Nov-2021
https://doi.org/10.1007/978-981-16-5063-5_35
Malhotra RKumar DGupta D(2020)An Android Application for Campus Information SystemProcedia Computer Science10.1016/j.procs.2020.05.124172(863-868)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.05.124
Hsu FWang COu CHsu Y(2020)A passive user‐side solution for evil twin access point detection at public hotspotsInternational Journal of Communication Systems10.1002/dac.446033:14Online publication date: 25-Jun-2020
https://doi.org/10.1002/dac.4460
Bouras CBaumann KKokkinos VPapachristos NStamos K(2019)WiFiMonInternational Journal of Wireless Networks and Broadband Technologies10.4018/IJWNBT.20190101018:1(1-18)Online publication date: 1-Jan-2019
https://doi.org/10.4018/IJWNBT.2019010101
Fraga-Lamas PCelaya-Echarri MLopez-Iturri PCastedo LAzpilicueta LAguirre ESuárez-Albela MFalcone FFernández-Caramés T(2019)Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus ApplicationsSensors10.3390/s1915328719:15(3287)Online publication date: 26-Jul-2019
https://doi.org/10.3390/s19153287
Fernández-Caramés TFraga-Lamas P(2019)Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and UniversitiesApplied Sciences10.3390/app92144799:21(4479)Online publication date: 23-Oct-2019
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