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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5239
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor郭大維(Tei-Wei Kuo)
dc.contributor.authorChi-Hsuan Linen
dc.contributor.author林季萱zh_TW
dc.date.accessioned2021-05-15T17:54:09Z-
dc.date.available2015-08-08
dc.date.available2021-05-15T17:54:09Z-
dc.date.copyright2014-08-08
dc.date.issued2014
dc.date.submitted2014-07-28
dc.identifier.citation[1] Americans spend 58 minutes a day on their smartphones.
http://www.experian.com/blogs/marketing-forward/2013/05/28/americans-spend-
58-minutes-a-day-on-their-smartphones/.
[2] Android fragment http://developer.android.com/guide/components/fragments.html.
[3] Android power manager. http://developer.android.com/reference/android/os/PowerManager.html.
[4] Making smartphones brilliant: ten trends. http://community.arm.com/groups/arm-
mali-graphics/blog/2014/03/25/gpu-compute-dealing-with-the-elephant-in-the-room.
[5] Monsoon solutions inc. http://www.msoon.com/.
[6] Number of applications downloaded from google play.
http://www.statista.com/statistics/281106/number-of-android-app-downloads-from-google-play/.
[7] Wireshark. http://www.wireshark.org/.
[8] Niranjan Balasubramanian, Aruna Balasubramanian, and Arun Venkataramani. Energy consumption in mobile phones: A measurement study and implications for network applications. In Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, IMC ’09, 2009.
[9] Aaron Carroll and Gernot Heiser. An analysis of power consumption in a smartphone. In Proceedings of the 2010 USENIX Conference on USENIX Annual Technical Conference, USENIXATC’10, 2010.
[10] Yu-Ming Chang, Pi-Cheng Hsiu, Yuan-Hao Chang, and Che-Wei Chang. A resource-driven dvfs scheme for smart handheld devices. ACM Trans. Embed. Comput. Syst., 2013.
[11] Brad K. Donohoo, Chris Ohlsen, and Sudeep Pasricha. Aura: An application and user interaction aware middleware framework for energy optimization in mobile devices. In Proceedings of the 2011 IEEE 29th International Conference on Computer Design, ICCD ’11, 2011.
[12] Selim Gurun and Chandra Krintz. Autodvs: An automatic, general-purpose, dynamic clock scheduling system for hand-held devices, 2005.
[13] IDC. Worldwide smartphone market growth in the first quarter of 2014.
http://www.idc.com/getdoc.jsp?containerId=prUS24823414.
[14] Ali Iranli, Wonbok Lee, and Massoud Pedram. Backlight dimming in power-aware mobile displays. In Proceedings of the 43rd Annual Design Automation Conference, DAC ’06.
[15] J. Kim, Y. Kim, and S. Chung. Stabilizing cpu frequency and voltage for temperature-aware dvfs in mobile devices. Computers, IEEE Transactions on, 2013.
[16] Chun-Han Lin, Pi-Cheng Hsiu, and Cheng-Kang Hsieh. Dynamic backlight scaling optimization: A cloud-based energy-saving service for mobile streaming applications. Computers, IEEE Transactions on, 2014.
[17] Kaisen Lin, Aman Kansal, Dimitrios Lymberopoulos, and Feng Zhao. Energy-accuracy trade-off for continuous mobile device location. In ACM Mobisys, 2010.
[18] Aqeel Mahesri and Vibhore Vardhan. Power consumption breakdown on a modern laptop. In Proceedings of the 4th International Conference on Power-Aware Computer Systems, PACS’04, 2005.
[19] Abhinav Pathak, Y. Charlie Hu, and Ming Zhang. Where is the energy spent inside my app?: Fine grained energy accounting on smartphones with eprof. In Proceedings of the 7th ACM European Conference on Computer Systems, 2012.
[20] Feng Qian, Zhaoguang Wang, Alexandre Gerber, Zhuoqing Mao, Subhabrata Sen, and Oliver Spatscheck. Profiling resource usage for mobile applications: A cross-layer approach. In Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, 2011.
[21] Aaron Schulman, Vishnu Navda, Ran Ramjee, Neil Spring, Pralhad Deshp, Calvin Grunewald, Kamal Jain, and Venkata N. Padmanabhan. Bartendr: A practical approach to energy-aware cellular data scheduling. In In Mobicom, 2010.
[22] Alex Shye, Benjamin Scholbrock, and Gokhan Memik. Into the wild: Studying real user activity patterns to guide power optimizations for mobile architectures. In Proceedings of the 42Nd Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 42, 2009.
[23] Alex Shye, Benjamin Scholbrock, Gokhan Memik, and Peter A. Dinda. Characterizing and Modeling User Activity on Smartphones: Summary. In Proc. of ACM SIGMETRICS, pages 375–376, 2010.
[24] Wook Song, Yeseong Kim, Hakbong Kim, Jehun Lim, and Jihong Kim. Personalized optimization for android smartphones. ACM Transaction on Embedded Computing Systems, 13(2s), January 2014.
[25] Narendran Thiagarajan, Gaurav Aggarwal, Angela Nicoara, Dan Boneh, and Jatinder Pal Singh. Who killed my battery?: Analyzing mobile browser energy consumption. In Proceedings of the 21st International Conference on World Wide Web,
WWW ’12.
[26] Chanmin Yoon, Dongwon Kim, Wonwoo Jung, Chulkoo Kang, and Hojung Cha. Appscope: Application energy metering framework for android smartphones using
kernel activity monitoring. In Proceedings of the 2012 USENIX Conference on Annual Technical Conference, USENIX ATC’12, 2012.
[27] Lide Zhang, Birjodh Tiwana, Zhiyun Qian, ZhaoguangWang, Robert P. Dick, Zhuo-qing Morley Mao, and Lei Yang. Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In Proceedings of
the Eighth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, CODES/ISSS ’10, 2010.
[28] Xinyu Zhang and Kang G. Shin. E-mili: Energy-minimizing idle listening in wireless networks. In Proceedings of the 17th Annual International Conference on Mobile Computing and Networking, MobiCom ’11.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5239-
dc.description.abstract如智慧型手機等的行動系統已成為現代人生活中不可或缺的一部份。由於行動裝置
上電池容量相當的有限,如何了解系統中的耗電分布並減少不必要的耗電一直是重
要的課題。在考慮使用者觀感(User Perception)的情況下,我們發現目前的行動系統
很可能存在嚴重的耗電浪費。因此我們提出了隱性活動(Unperceived Activity)的概
念,並設計一連串的提驗及分析,證明其嚴重性,並觀察發生的原因和特性。根據
分析的結果,我們提出並實作了可能的解決方向,並在驗證實驗中證明這些方法可
以達到可觀的省電效果。
zh_TW
dc.description.abstractSmartphones have become an essential part of our daily life. As mobile devices and appli-
cations keep becoming more powerful and complicated, the demand for energy on mobile
devices also rise continuously. Due to the limited battery capacity, power consumption
analysis has been an essential study to make the usage of energy more efficient. In this
work, we propose an power analysis considering user perception to investigate whether
energy consumption is really worthy to users. We propose the concept of Unperceived
Activity and waste of energy caused by it. A series of experiments is conducted to prove
the seriousness of waste and find out the sources and characteristics of different unperceived activities. Potential directions are suggested to solve the problem. Some simple
remedies are also implemented and evaluated to be able to reduce the waste effectively.
en
dc.description.provenanceMade available in DSpace on 2021-05-15T17:54:09Z (GMT). No. of bitstreams: 1
ntu-103-R01922015-1.pdf: 360696 bytes, checksum: 2e0f5202c0bb589bb1eb900bdf41438c (MD5)
Previous issue date: 2014
en
dc.description.tableofcontentsAbstract in Chinese iii
Abstract iv
Contents v
List of Figures viii
List of Tables ix
1 Introduction 1
2 Background and Motivation 4
2.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
3 Impact of Unperceived Activities 8
3.1 Unperceived Activities . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.2 Exploration of Unperceived Activities . . . . . . . . . . . . . . . . . . . 10
3.2.1 Observation Methodology . . . . . . . . . . . . . . . . . . . . . 10
3.2.2 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
3.3 Questions to Answer . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
3.3.1 What causes power impulses in idle session? . . . . . . . . . . . 14
3.3.2 How long are the wake-ups? . . . . . . . . . . . . . . . . . . . . 16
3.3.3 How many wake-up events occur? How is the distribution among
different causes? . . . . . . . . . . . . . . . . . . . . . . . . . . 16
3.3.4 How is the energy impact of different types of wake-up? . . . . . 19
3.3.5 How many redundant activities are made? . . . . . . . . . . . . . 21
3.3.6 What are the purposes of these redundant activities? . . . . . . . 23
3.3.7 How is the energy impact of different redundant activities? . . . . 24
4 Insights to Potential Solutions 28
4.1 Directions to Potential Solutions . . . . . . . . . . . . . . . . . . . . . . 28
4.1.1 Idling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
4.1.2 Interactive . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
4.2 Implementation: Alarm Alignment . . . . . . . . . . . . . . . . . . . . . 30
4.3 Implementation: Swap Space . . . . . . . . . . . . . . . . . . . . . . . . 32
5 Conclusion 34
Bibliography 35
Curriculum Vitae 39
dc.language.isoen
dc.subject行動裝置zh_TW
dc.subject應用程式zh_TW
dc.subject使用者觀感zh_TW
dc.subject行動系統zh_TW
dc.subject能源效率zh_TW
dc.subject耗電分析zh_TW
dc.subjectMobile applicationsen
dc.subjectUser perceptionen
dc.subjectPower consumptionen
dc.subjectMobile devicesen
dc.subjectEnergy efficiencyen
dc.title行動系統之隱性耗電活動分析zh_TW
dc.titleHow Is the Energy Wasted - Exploring Unperceived Activities of Mobile Systemsen
dc.typeThesis
dc.date.schoolyear102-2
dc.description.degree碩士
dc.contributor.coadvisor修丕承(Pi-Cheng Hsiu)
dc.contributor.oralexamcommittee李允中(Yun-Chung Lee),洪士灝(Shih-Hao Hung),王成淵(Cheng-Yuan Wang)
dc.subject.keyword行動系統,行動裝置,耗電分析,能源效率,使用者觀感,應用程式,zh_TW
dc.subject.keywordPower consumption,User perception,Energy efficiency,Mobile applications,Mobile devices,en
dc.relation.page39
dc.rights.note同意授權(全球公開)
dc.date.accepted2014-07-28
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊工程學研究所zh_TW
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