research-article

TailTheft: leveraging the wasted time for saving energy in cellular communications

Authors:

Yuezhi ZhouAuthors Info & Claims

MobiArch '11: Proceedings of the sixth international workshop on MobiArch

Pages 31 - 36

https://doi.org/10.1145/1999916.1999925

Published: 28 June 2011 Publication History

Abstract

A notion in cellular communications (e.g., GSM, 3G) is called Tail Time, namely the period of high power state after the completion of a transmission. This Tail Time can alleviate the overhead of switching from the low to the high power state, in case there is another transmission in the near future. However, it also results in large energy waste. In this paper, we propose TailTheft, a scheme that steals the wasted Tail Time for data prefetching and delayed transfer, thus significantly reducing energy consumption. In order to achieve this, TailTheft schedules a number of transmissions to the Tail Time of other transmissions. A Virtual Tail mechanism is employed to steal the Tail Time and a Dual Queue Scheduling algorithm is proposed for the scheduling of transmissions. We evaluate TailTheft through a trace-driven simulation using both per-application and real life traces. Experimental results show that TailTheft can reduce energy consumption by 20% to 34% in different cases.

References

[1]

N. Balasubramanian, A. Balasubramanian, and A. Venkataramani. Energy Consumption in Mobile Phones: a Measurement Study and Implications for Network Applications. In IMC, 2009.

Digital Library

[2]

F. Qian, Z. Wang, A. Gerber, Z.M. Mao, S. Sen, and O. Spatscheck. TOP : Tail Optimization Protocol For Cellular Radio Resource Allocation. In ICNP, 2010.

Digital Library

[3]

A. Carroll and G. Heiser. An Analysis of Power Consumption in a Smartphone. In USENIX ATC, 2010.

Digital Library

[4]

A. Sharma, V. Navda, R. Ramjee, V.N. Padmanabhan, and E.M. Belding. Cool-Tether : Energy Efficient On-the-fly WiFi Hot-spots. In CoNEXT, 2009.

Digital Library

[5]

H. Falaki, D. Estrin, R. Mahajan, S. Kandula, and D. Estrin. A First Look at Traffic on Smartphones. In IMC, 2010.

Digital Library

[6]

F. Qian, Z. Wang, A. Gerber, Z.M. Mao, S. Sen, and O. Spatscheck. Characterizing Radio Resource Allocation for 3G Networks. In IMC, 2010.

Digital Library

[7]

A. Shye, B. Scholbrock, and G. Memik. Into the Wild : Studying Real User Activity Patterns to Guide Power Optimizations for Mobile Architectures Categories and Subject Descriptors. In MICRO, 2009.

Digital Library

[8]

M. Chuah, W. Luo, and X. Zhang. Impacts of Inactivity Timer Values on UMTS System Capacity. In WCNC, 2002.

[9]

C. Lee, J. Yeh, and J. Chen. Impact of Inactivity Timer on Energy Consumption in WCDMA and CDMA2000. In Proc. of Intersociety Conference on Thermal and Thermomechanical Phenomena In Electronic Systems, 2004.

[10]

UE Fast Dormancy Behavior. 3GPP Discussion and Decision Notes R2-075251, 2007.

[11]

Configuration of Fast Dormancy in Release 8. 3GPP Discussion and Decision Notes RP-090960, 2009.

[12]

Ericsson. Mobile Subscriptions Hit 5 Billion Mark. http: //www.ericsson.com/thecompany/press/releases/2010/07/1430616.

[13]

Yahoo! News RSS. http://news.yahoo.com/page/rss.

[14]

HTC T-Mobile G1. http://www.htc.com/www/product/g1/overview.html.

[15]

PowerTutor. http://ziyang.eecs.umich.edu/projects/powertutor/.

[16]

Tcpdump. http://www.tcpdump.org/.

Cited By

Vergallo RCagnazzo AMele ECasciaro S(2024)Measuring the Effectiveness of the ‘Batch Operations’ Energy Design Pattern to Mitigate the Carbon Footprint of Communication Peripherals on Mobile DevicesSensors10.3390/s2422724624:22(7246)Online publication date: 13-Nov-2024
https://doi.org/10.3390/s24227246
Chen YWang NLiu YKo C(2023)Energy Efficiency of Mobile Devices Using Fuzzy Logic Control by Exponential Weight with Priority-Based Rate Control in Multi-Radio Opportunistic NetworksElectronics10.3390/electronics1213286312:13(2863)Online publication date: 28-Jun-2023
https://doi.org/10.3390/electronics12132863
Chen YLin YChen HHung K(2023)Energy efficient resource allocation algorithms combining PSO with FLC and Taguchi method in hybrid opportunistic networksApplied Soft Computing10.1016/j.asoc.2023.110717148(110717)Online publication date: Nov-2023
https://doi.org/10.1016/j.asoc.2023.110717
Show More Cited By

Index Terms

TailTheft: leveraging the wasted time for saving energy in cellular communications
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

Recommendations

RadioJockey: mining program execution to optimize cellular radio usage
Mobicom '12: Proceedings of the 18th annual international conference on Mobile computing and networking

Many networked applications that run in the background on a mobile device incur significant energy drains when using the cellular radio interface for communication. This is mainly due to the radio-tail, where the cellular radio remaining in a high ...
GreenTouch: transparent energy management for cellular data radios
UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Smartphones come equipped with multiple radios for cellular data communication such as 4G LTE, 3G, and 2G, that offer different bandwidths and power profiles. 4G LTE offers the highest bandwidth and is desired by users as it offers quick response while ...
Improving energy-efficient communications with a battery lifetime-aware mechanism in IEEE802.16e wireless networks

Green network communication has recently received attention because of its economic and environmentally friendly benefits. Energy consumption significantly affects mobile subscriber stations in wireless broadband access networks. Efficient energy saving ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

MobiArch '11: Proceedings of the sixth international workshop on MobiArch

June 2011

50 pages

ISBN:9781450307406

DOI:10.1145/1999916

Program Chairs:
Kyle Jamieson
University College London, United Kingdom
,
Ratul Mahajan
Microsoft Research Redmond, USA

Copyright © 2011 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

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

In-Cooperation

SIGOPS: ACM Special Interest Group on Operating Systems

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MobiSys'11

Sponsor:

SIGMOBILE

MobiSys'11: The 9th International Conference on Mobile Systems, Applications, and Services

June 28, 2011

Maryland, Bethesda, USA

Acceptance Rates

MobiArch '11 Paper Acceptance Rate 7 of 14 submissions, 50%;

Overall Acceptance Rate 47 of 92 submissions, 51%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

41
Total Citations
View Citations
422
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Vergallo RCagnazzo AMele ECasciaro S(2024)Measuring the Effectiveness of the ‘Batch Operations’ Energy Design Pattern to Mitigate the Carbon Footprint of Communication Peripherals on Mobile DevicesSensors10.3390/s2422724624:22(7246)Online publication date: 13-Nov-2024
https://doi.org/10.3390/s24227246
Chen YWang NLiu YKo C(2023)Energy Efficiency of Mobile Devices Using Fuzzy Logic Control by Exponential Weight with Priority-Based Rate Control in Multi-Radio Opportunistic NetworksElectronics10.3390/electronics1213286312:13(2863)Online publication date: 28-Jun-2023
https://doi.org/10.3390/electronics12132863
Chen YLin YChen HHung K(2023)Energy efficient resource allocation algorithms combining PSO with FLC and Taguchi method in hybrid opportunistic networksApplied Soft Computing10.1016/j.asoc.2023.110717148(110717)Online publication date: Nov-2023
https://doi.org/10.1016/j.asoc.2023.110717
Zhang DZhou YZhang Y(2019)Network-Aware Data Transmission Scheduling for Saving Energy in Cellular Networks2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00129(514-521)Online publication date: Aug-2019
https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00129
Cui YXiao SWang XLai ZYang ZLi MWang H(2017)Performance-Aware Energy Optimization on Mobile Devices in Cellular NetworkIEEE Transactions on Mobile Computing10.1109/TMC.2016.258605216:4(1073-1089)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1109/TMC.2016.2586052
Venkat VNarayanaswamy MPosonia M(2017)Extend your journey: Considering signal strength and fluctuation in location-based applications2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC)10.1109/ICCPEIC.2017.8290403(408-411)Online publication date: Mar-2017
https://doi.org/10.1109/ICCPEIC.2017.8290403
Wang CMa W(2016)Traffic Aware Based Tail Optimization of Browsing Applications for Energy SavingAdvances in Swarm Intelligence10.1007/978-3-319-41000-5_22(220-227)Online publication date: 15-Jun-2016
https://doi.org/10.1007/978-3-319-41000-5_22
Almeida MBilal MBlackburn JPapagiannaki K(2016)An Empirical Study of Android Alarm Usage for Application SchedulingPassive and Active Measurement10.1007/978-3-319-30505-9_28(373-384)Online publication date: 24-Mar-2016
https://doi.org/10.1007/978-3-319-30505-9_28
Israeli TBiton EGurewitz O(2015)Experimental Assessment of Power-Save Behavior of Commercial IEEE 802.16 NetworkIEEE Transactions on Wireless Communications10.1109/TWC.2014.232987914:3(1169-1182)Online publication date: Mar-2015
https://doi.org/10.1109/TWC.2014.2329879
Conti MCrispo BDiodati DNurminen JPinotti CTeemaa T(2015)Leveraging Parallel Communications for Minimizing Energy Consumption on SmartphonesIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2014.236069326:10(2778-2790)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1109/TPDS.2014.2360693
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten