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A View from the Other Side: Understanding Mobile Phone Characteristics in the Developing World

Authors:

Abdul Lateef Haamid,

Zafar Ayyub Qazi,

Theophilus Benson,

Ihsan Ayyub QaziAuthors Info & Claims

IMC '16: Proceedings of the 2016 Internet Measurement Conference

Pages 319 - 325

https://doi.org/10.1145/2987443.2987470

Published: 14 November 2016 Publication History

Abstract

Mobile devices are becoming increasingly dominant in the developing world. However, there is little insight into the characteristics of devices being used in such regions. Using a dataset of ~0.5 million subscribers from one of the largest cellular operators in Pakistan, we analyze the characteristics of cell phones based on different features (e.g., CPU, memory, and cellular interface). We identify potential device-level bottlenecks for Internet access and analyze the security implications of the phones being used. To aid the analysis of cell phones, we propose abstractions (e.g., connectivity, capacity, and device security) and cluster phones based on these abstractions. Our analysis reveals interesting insights for improving mobile web performance.

References

[1]

A snapshot of smartphone usage in Pakistan in 2014. https://www.techinasia.com/smartphones-in-pakistan-infographic-2014.

[2]

Alexa - Top Sites in Pakistan. http://www.alexa.com/topsites/countries/PK. Accessed: 2016-05--12.

[3]

Connectivity Lab. https://info.internet.org/en/story/connectivity-lab/.

[4]

CVE Details. http://www.cvedetails.com.

[5]

EDGE. http://www.etsi.org/technologies-clusters/technologies/mobile/edge.

[6]

Facebook Advertising Research Around the World. https://research.facebook.com/blog/facebook-advertising-research-around-the-world/.

[7]

General Packet Radio Service (GPRS). http://www.etsi.org/technologies-clusters/technologies/mobile/gprs.

[8]

gsmarena. http://www.gsmarena.com.

[9]

HSPA. http://www.3gpp.org/technologies/keywords-acronyms/99-hspa.

[10]

IMEI.INFO. http://www.imei.info.

[11]

LTE. http://www.3gpp.org/technologies/keywords-acronyms/98-lte.

[12]

Mobile technologies GSM. http://www.etsi.org/technologies-clusters/technologies/mobile/gsm.

[13]

Mobile technologies GSM. http://www.3gpp.org/technologies/keywords-acronyms/102-gprs-edge.

[14]

National Vulnerability Database. https://nvd.nist.gov.

[15]

Project Loon. https://www.google.com/loon/.

[16]

SMSall: Mobile social network for everyone. http://smsall.pk.

[17]

Technologies. https://www.telenor.me/en/About-Telenor/Network/Technologies/.

[18]

The State of LTE. https://opensignal.com/reports/2015/09/state-of-lte-q3--2015/.

[19]

The World in 2014. ICT Facts and Figures. https://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2014-e.pdf.

[20]

Anand, A., Pejovic, V., Belding, E. M., and Johnson, D. L. Villagecell: Cost effective cellular connectivity in rural areas. In ICTD (2012).

Digital Library

[21]

Bischof, Z. S., Rula, J. P., and Bustamante, F. E. In and out of cuba: Characterizing cuba's connectivity. In IMC (2015).

Digital Library

[22]

Biswas, S., Bicket, J., Wong, E., Musaloiu-E, R., Bhartia, A., and Aguayo, D. Large-scale measurements of wireless network behavior. In ACM SIGCOMM (2015).

Digital Library

[23]

Danis, C. M., Ellis, J. B., Kellogg, W. A., van Beijma, H., Hoefman, B., Daniels, S. D., and Loggers, J.-W. Mobile phones for health education in the developing world: Sms as a user interface. In ACM DEV (2010).

Digital Library

[24]

David J. Ketchen, J., and Shook, C. L. The application of cluster analysis in strategic management research: An analysis and critique. Strategic Management Journal 17, 6 (1996), 441--458.

[25]

Dhananjay, A., Sharma, A., Paik, M., Chen, J., Kuppusamy, T. K., Li, J., and Subramanian, L. Hermes: Data transmission over unknown voice channels. In MobiCom (2010).

Digital Library

[26]

Hartigan, J. A., and Wong, M. A. Algorithm AS 136: A K-Means Clustering Algorithm. Applied Statistics 28, 1 (1979), 100--108.

[27]

Heimerl, K., Menon, A., Hasan, S., Ali, K., Brewer, E., and Parikh, T. Analysis of smartphone adoption and usage in a rural community cellular network. In ICTD (2015).

Digital Library

[28]

Mathur, A., Agarwal, S., and Jaiswal, S. Exploring playback and recording of web-based audio media on low-end feature phones. In ACM DEV (2013).

Digital Library

[29]

Patra, R., Nedevschi, S., Surana, S., Sheth, A., Subramanian, L., and Brewer, E. Wildnet: Design and implementation of high performance wifi based long distance networks. In NSDI (2007).

Digital Library

[30]

Raza, A. A., Pervaiz, M., Milo, C., Razaq, S., Alster, G., Sherwani, J., Saif, U., and Rosenfeld, R. Viral entertainment as a vehicle for disseminating speech-based services to low-literate users. In ICTD (2012).

Digital Library

[31]

Sharma, A., Kaur, M., Koradia, Z., Nishant, R., Pandit, S., Raman, A., and Seth, A. Revisiting the state of cellular data connectivity in india. In DEV (2015).

Digital Library

[32]

Sharma, A., Kaur, M., Koradia, Z., Nishant, R., Pandit, S., Raman, A., and Seth, A. Revisiting the state of cellular data connectivity in india. In DEV (2015).

Digital Library

[33]

Velghe, F. Literacy acquisition, informal learning and mobile phones in a south african township. In ICTD (2013).

Digital Library

[34]

Wang, X. S., Balasubramanian, A., Krishnamurthy, A., and Wetherall, D. Demystifying page load performance with wprof. In NSDI (2013).

Digital Library

[35]

Wang, X. S., Krishnamurthy, A., and Wetherall, D. Speeding up web page loads with shandian. In NSDI (2016).

Digital Library

[36]

Wang, X. S., Shen, H., and Wetherall, D. Accelerating the mobile web with selective offloading. In MCC (2013).

Digital Library

[37]

Zaki, Y., Chen, J., Pötsch, T., Ahmad, T., and Subramanian, L. Dissecting web latency in ghana. In IMC (2014).

Digital Library

Cited By

Tekwa KLiu J(2024)Linguistic Minorities and Crisis Communication: Assessing the Contribution of Real-Time Machine-Translated Instant Messaging During a Cascading CrisisSage Open10.1177/2158244024130112614:4Online publication date: 18-Dec-2024
https://doi.org/10.1177/21582440241301126
Naseer UBenson T(2023)JS Capsules: A Framework for Capturing Fine-grained JavaScript Memory Measurements for the Mobile Web.ACM SIGMETRICS Performance Evaluation Review10.1145/3606376.359354851:1(53-54)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3606376.3593548
Naseer UBenson T(2023)JS Capsules: A Framework for Capturing Fine-grained JavaScript Memory Measurements for the Mobile WebProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35793277:1(1-26)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3579327
Show More Cited By

Index Terms

A View from the Other Side: Understanding Mobile Phone Characteristics in the Developing World
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices
      1. Mobile devices
2. Networks
  1. Network types
    1. Mobile networks

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Information & Contributors

Information

Published In

cover image ACM Conferences

IMC '16: Proceedings of the 2016 Internet Measurement Conference

November 2016

570 pages

ISBN:9781450345262

DOI:10.1145/2987443

General Chairs:
Phillipa Gill
University of Massachusetts--Amherst
,
John Heidemann
USC/ISI
,
Program Chairs:
John W. Byers
Boston University
,
Ramesh Govindan
USC

Copyright © 2016 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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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 2016

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IMC 2016

Sponsor:

SIGMETRICS
SIGCOMM
USENIX Assoc

IMC 2016: Internet Measurement Conference

November 14 - 16, 2016

California, Santa Monica, USA

Acceptance Rates

IMC '16 Paper Acceptance Rate 48 of 184 submissions, 26%;

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

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Cited By

Tekwa KLiu J(2024)Linguistic Minorities and Crisis Communication: Assessing the Contribution of Real-Time Machine-Translated Instant Messaging During a Cascading CrisisSage Open10.1177/2158244024130112614:4Online publication date: 18-Dec-2024
https://doi.org/10.1177/21582440241301126
Naseer UBenson T(2023)JS Capsules: A Framework for Capturing Fine-grained JavaScript Memory Measurements for the Mobile Web.ACM SIGMETRICS Performance Evaluation Review10.1145/3606376.359354851:1(53-54)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3606376.3593548
Naseer UBenson T(2023)JS Capsules: A Framework for Capturing Fine-grained JavaScript Memory Measurements for the Mobile WebProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35793277:1(1-26)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3579327
Naseer UBenson TSmirni EAvrachenkov KGill PUrgaonkar B(2023)JS Capsules: A Framework for Capturing Fine-grained JavaScript Memory Measurements for the Mobile Web.Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems10.1145/3578338.3593548(53-54)Online publication date: 19-Jun-2023
https://dl.acm.org/doi/10.1145/3578338.3593548
Alnawayseh SKhan TFarooq UZulfiqar SKhan SAl-Kassem A(2023)Research Challenges and Future Facet Of Cellular Computing2023 International Conference on Business Analytics for Technology and Security (ICBATS)10.1109/ICBATS57792.2023.10111407(1-8)Online publication date: 7-Mar-2023
https://doi.org/10.1109/ICBATS57792.2023.10111407
Munir MSaeed MAli MQazi ZRaza AQazi I(2023)Learning Fast and Slow: Towards Inclusive Federated LearningMachine Learning and Knowledge Discovery in Databases: Research Track10.1007/978-3-031-43415-0_23(384-401)Online publication date: 17-Sep-2023
https://doi.org/10.1007/978-3-031-43415-0_23
Abdullah MQazi ZQazi IBarakat CPelsser CBenson TChoffnes D(2022)Causal impact of Android go on mobile web performanceProceedings of the 22nd ACM Internet Measurement Conference10.1145/3517745.3561456(113-129)Online publication date: 25-Oct-2022
https://dl.acm.org/doi/10.1145/3517745.3561456
Vargas SGunapati GGandhi ABalasubramanian ABarakat CPelsser CBenson TChoffnes D(2022)Are mobiles ready for BBR?Proceedings of the 22nd ACM Internet Measurement Conference10.1145/3517745.3561438(551-559)Online publication date: 25-Oct-2022
https://dl.acm.org/doi/10.1145/3517745.3561438
Jun BBustamante FGreenstein BClelland ILiKamWa RHengartner U(2022)Reining in mobile web performance with document and permission policiesProceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications10.1145/3508396.3512878(95-101)Online publication date: 9-Mar-2022
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Tieanklin NJohnson MHeimerl K(2021)Poster: The Low Impact of COVID-19 on Rural Community Network TrafficProceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies10.1145/3460112.3472311(417-422)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3460112.3472311
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