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Characterizing and modeling user activity on smartphones: summary

Authors:

Alex Shye,

Benjamin Scholbrock,

Gokhan Memik,

Peter A. DindaAuthors Info & Claims

SIGMETRICS '10: Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems

Pages 375 - 376

https://doi.org/10.1145/1811039.1811094

Published: 14 June 2010 Publication History

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Abstract

In this paper, we present a comprehensive analysis of real smartphone usage during a 6-month study of real user activity on the Android G1 smartphone. Our goal is to study the high-level characteristics of smartphone usage, and to understand the implications on optimizing smartphones, and their networks. Overall, we present 11 findings that cover general usage behavior, interaction with the battery, power consumption, network activity, frequently-run applications, and modeling usage states.

References

[1]

A. Shye, B. Ozisikyilmaz, A. Mallik, G. Memik, P. A. Dinda, R. P. Dick, and A. N. Choudhary. Learning and leveraging the relationship between architecture-level measurements and individual user satisfaction. In Proceedings of the Intl. Symposium on Computer Architecture, June 2008.

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[2]

A. Shye, B. Scholbrock, and G. Memik. Into the wild: Studying real user activity patterns to guide power optimizations for mobile architectures. In MICRO, December 2009.

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[3]

A. Shye, B. Scholbrock, G. Memik, and P. A. Dinda. Characterizing and modeling user activity on smartphones. Technical Report NWU-EECS-10-06, Northwestern University, Evanston, IL, March 2010.

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Characterizing and modeling user activity on smartphones: summary

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Information & Contributors

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Published In

SIGMETRICS '10: Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems

June 2010

398 pages

ISBN:9781450300384

DOI:10.1145/1811039

General Chair:
Vishal Misra
Columbia University, USA
,
Program Chairs:
Paul Barford
University of Wisconsin-Madison, USA
,
Mark Squillante
IBM T.J. Watson Research Center, USA

ACM SIGMETRICS Performance Evaluation Review Volume 38, Issue 1
Performance evaluation review
June 2010
382 pages
ISSN:0163-5999
DOI:10.1145/1811099
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2010

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SIGMETRICS '10

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SIGMETRICS

SIGMETRICS '10: ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems

June 14 - 18, 2010

New York, New York, USA

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Overall Acceptance Rate 459 of 2,691 submissions, 17%

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Tang GWu KWu YWang HQian G(2022)Modeling and Alleviating Low-Battery Anxiety for Mobile Users in Video Streaming ServicesIEEE Internet of Things Journal10.1109/JIOT.2021.31077289:7(5065-5079)Online publication date: 1-Apr-2022
https://doi.org/10.1109/JIOT.2021.3107728
Pisa PCosta BGonçalves JVarela de Medeiros DMattos D(2021)A Private Strategy for Workload Forecasting on Large-Scale Wireless NetworksInformation10.3390/info1212048812:12(488)Online publication date: 23-Nov-2021
https://doi.org/10.3390/info12120488
Bhat GMandal SManchukonda SVadlamudi SAgarwal AWang JOgras U(2021)Per-Core Power Modeling for Heterogenous SoCsElectronics10.3390/electronics1019242810:19(2428)Online publication date: 7-Oct-2021
https://doi.org/10.3390/electronics10192428
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https://doi.org/10.1111/jsr.13213
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Characterizing Smartphone Usage Patterns from Millions of Android Users