Article

An analysis of power consumption in a smartphone

Authors:

Aaron Carroll,

Gernot HeiserAuthors Info & Claims

USENIXATC'10: Proceedings of the 2010 USENIX conference on USENIX annual technical conference

Page 21

Published: 23 June 2010 Publication History

Publisher Site

Abstract

Mobile consumer-electronics devices, especially phones, are powered from batteries which are limited in size and therefore capacity. This implies that managing energy well is paramount in such devices.

Good energy management requires a good understanding of where and how the energy is used. To this end we present a detailed analysis of the power consumption of a recent mobile phone, the Openmoko Neo Freerunner. We measure not only overall system power, but the exact breakdown of power consumption by the device's main hardware components. We present this power breakdown for micro-benchmarks as well as for a number of realistic usage scenarios. These results are validated by overall power measurements of two other devices: the HTC Dream and Google Nexus One.

We develop a power model of the Freerunner device and analyse the energy usage and battery lifetime under a number of usage patterns. We discuss the significance of the power drawn by various components, and identify the most promising areas to focus on for further improvements of power management. We also analyse the energy impact of dynamic voltage and frequency scaling of the device's application processor.

References

[1]

ANDRIOD ON FREERUNNER COMMUNITY. 2009. http:// code.google.com/p/android-on-freerunner/.

Google Scholar

[2]

BIRCHER, W. L., AND JOHN, L. K. Complete system power estimation: A trickle-down approach based on performance events. In Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (San Jose, CA, USA, Apr. 25-27 2007), IEEE Computer Society, pp. 158-168.

Crossref

Google Scholar

[3]

BIRCHER, W. L., AND JOHN, L. K. Analysis of dynamic power management on multi-core processors. In Proceedings of the 22nd International Conference on Supercomputing (Island of Kos, Greece, June 2008), pp. 327-338.

Digital Library

Google Scholar

[4]

MAHESRI, A., AND VARDHAN, V. Power consumption breakdown on a modern laptop. In Proceedings of the 2004 Workshop on Power-Aware Computer Systems (Portland, OR, USA, Dec. 2004), B. Falsafi and T. N. Vijaykumar, Eds., vol. 3471 of Lecture Notes in Computer Science, Springer, pp. 165-180.

Digital Library

Google Scholar

[5]

MIYOSHI, A., LEFURGY, C., HENSBERGEN, E. V., RAJAMONY, R., AND RAJKUMAR, R. Critical power slope: understanding the runtime effects of frequency scaling. In Proceedings of the 16th International Conference on Supercomputing (New York, NY, USA, June 2002), ACM Press, pp. 35-44.

Digital Library

Google Scholar

[6]

NATIONAL INSTRUMENTS CORPORATION. NI 622x Specifications, June 2007. 371290G-01.

Google Scholar

[7]

OPENMOKO, INC. GTA02 -- Neo Freerunner schematics. http://downloads.openmoko.org/developer/ schematics/GTA02, Aug. 2008. A7RC0.

Google Scholar

[8]

SAGAHYROON, A. Power consumption in handheld computers. In Proceedings of the International Symposium on Circuits and Systems (Dec. 2006), pp. 1721-1724.

Crossref

Google Scholar

[9]

SNOWDON, D. C., LE SUEUR, E., PETTERS, S. M., AND HEISER, G. Koala: A platform for OS-level power management. In Proceedings of the 4th EuroSys Conference (Nuremberg, Germany, Apr. 2009).

Digital Library

Google Scholar

[10]

U-BLOX AG. ATR0630 Data Sheet, July 2006. GPS.G4-X- 06009-P2.

Google Scholar

[11]

WIKIPEDIA. Smartphone. http://en.wikipedia.org/ wiki/Smartphone. Last visited January 2010.

Google Scholar

Cited By

View all

Gu XWu WSong AYang MLing ZLuo J(2024)RF-TESI: Radio Frequency Fingerprint-based Smartphone Identification under Temperature VariationACM Transactions on Sensor Networks10.1145/363646220:2(1-21)Online publication date: 10-Jan-2024
https://dl.acm.org/doi/10.1145/3636462
Hugenroth DBeresford ACalandrino JTroncoso C(2023)Powering privacyProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620541(5431-5448)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620541
Kwak JLee SJeong DKumar AShin DKim IShin DLee KLee JShin IHui PAmiri Sani ANurmi PLiu Y(2023)MixMax: Leveraging Heterogeneous Batteries to Alleviate Low Battery Experience for Mobile UsersProceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services10.1145/3581791.3596843(247-260)Online publication date: 18-Jun-2023
https://dl.acm.org/doi/10.1145/3581791.3596843
Show More Cited By

An analysis of power consumption in a smartphone
1. General and reference
  1. Cross-computing tools and techniques

Recommendations

Dynamic management of power consumption
Power aware computing

Power consumption of electronic devices has become a serious concern in the recent years. Power efficiency is necessary to lengthen the battery lifetime in the portable systems, as well as to reduce the operational costs and the environmental impact of ...
ARM7TDMI Power Consumption

RISC CPUs can be found at the heart of many high volume portable and hand held consumer products. Examples of such products include pagers, mobile phones and PDAs. The processor often accounts for a major component of the system's power consumption. ...
Limiting the power consumption of main memory

The peak power consumption of hardware components affects their powersupply, packaging, and cooling requirements. When the peak power consumption is high, the hardware components or the systems that use them can become expensive and bulky. Given that ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

USENIXATC'10: Proceedings of the 2010 USENIX conference on USENIX annual technical conference

June 2010

24 pages

Publisher

USENIX Association

United States

Publication History

Published: 23 June 2010

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

258
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Gu XWu WSong AYang MLing ZLuo J(2024)RF-TESI: Radio Frequency Fingerprint-based Smartphone Identification under Temperature VariationACM Transactions on Sensor Networks10.1145/363646220:2(1-21)Online publication date: 10-Jan-2024
https://dl.acm.org/doi/10.1145/3636462
Hugenroth DBeresford ACalandrino JTroncoso C(2023)Powering privacyProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620541(5431-5448)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620541
Kwak JLee SJeong DKumar AShin DKim IShin DLee KLee JShin IHui PAmiri Sani ANurmi PLiu Y(2023)MixMax: Leveraging Heterogeneous Batteries to Alleviate Low Battery Experience for Mobile UsersProceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services10.1145/3581791.3596843(247-260)Online publication date: 18-Jun-2023
https://dl.acm.org/doi/10.1145/3581791.3596843
Nguyen LLee SNam B(2022)In-page shadowing and two-version timestamp ordering for mobile DBMSsProceedings of the VLDB Endowment10.14778/3551793.355180215:11(2402-2414)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.14778/3551793.3551802
Teng SWu KChen JLopes P(2022)Prolonging VR Haptic Experiences by Harvesting Kinetic Energy from the UserProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545635(1-18)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545635
Bhuyan SZhao SYing ZKandemir MDas C(2022)End-to-end Characterization of Game Streaming Applications on Mobile PlatformsProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35080306:1(1-25)Online publication date: 28-Feb-2022
https://dl.acm.org/doi/10.1145/3508030
Gu XWu WGuo NHe WSong AYang MLing ZLuo J(2022)TeRFF: Temperature-aware Radio Frequency Fingerprinting for Smartphones2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)10.1109/SECON55815.2022.9918173(127-135)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1109/SECON55815.2022.9918173
Shen G(2021)Computation Offloading for Better Real-Time Technical Market Analysis on Mobile DevicesProceedings of the 2021 3rd International Conference on Image Processing and Machine Vision10.1145/3469951.3469964(72-76)Online publication date: 22-May-2021
https://dl.acm.org/doi/10.1145/3469951.3469964
Ding MWang TWang X(2021)Establishing Smartphone User Behavior Model Based on Energy Consumption DataACM Transactions on Knowledge Discovery from Data10.1145/346145916:2(1-40)Online publication date: 21-Jul-2021
https://dl.acm.org/doi/10.1145/3461459
Shamsa EPröbstl ATaheriNejad NKanduri AChakraborty SRahmani ALiljeberg P(2021)UBARACM Transactions on Embedded Computing Systems10.1145/344164420:3(1-25)Online publication date: 27-Mar-2021
https://dl.acm.org/doi/10.1145/3441644
Show More Cited By

Abstract

References

Cited By

Recommendations

Dynamic management of power consumption

ARM7TDMI Power Consumption

Limiting the power consumption of main memory

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations