User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices

Jie Dai; Weichen Liu; Xiaohao Lin; Yaoyao Ye; Chunming Xiao; Kaijie Wu; Qingfeng Zhuge; Edwin H.M. Sha

doi:10.1109/HPCC-CSS-ICESS.2015.61

User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices

Jie Dai
, Weichen Liu^*
, Xiaohao Lin
, Yaoyao Ye
, Chunming Xiao
, Kaijie Wu
, Qingfeng Zhuge
, Edwin H.M. Sha

^*Corresponding author for this work

Chongqing University
Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Mobile devices such as smartphones, tablets and various tiny smart equipment are widely subjected to the limit of energy consumption. Moreover, user experience has become an up-to-the-moment research topic in mobile devices. In most mobile devices, the processor is usually set in a higher frequency level to provide better performance, which would cause the increment of energy consumption. In order to address this issue, in this paper, we propose a novel task scheduling model to harvest the energy saving and user experience improvement in energy-sensitive mobile devices. In our task scheduling model, we introduce the concept of user-centric task, and present tow judgmental principles to determine user-centric tasks (i.e., foreground/interactive tasks). For enhancing user experience, we reduce slack time of the user-centric tasks properly to achieve a shorter response time. We then present two algorithms to calculate the optimal frequencies and allocate the CPU resources. The experimental evaluation results show that our task scheduling model can achieve a tradeoff between energy consumption and performance, and enhance user experience.

Original language	English
Title of host publication	Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	941-944
Number of pages	4
ISBN (Electronic)	9781479989362
DOIs	https://doi.org/10.1109/HPCC-CSS-ICESS.2015.61
State	Published - 23 Nov 2015
Externally published	Yes
Event	17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 - New York, United States Duration: 24 Aug 2015 → 26 Aug 2015

Publication series

Name	Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015

Conference

Conference	17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015
Country/Territory	United States
City	New York
Period	24/08/15 → 26/08/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy consumption
Mobile communication
Mobile handsets
Processor scheduling
Radio spectrum management
Resource management
Scheduling

Access to Document

10.1109/HPCC-CSS-ICESS.2015.61

Cite this

Dai, J., Liu, W., Lin, X., Ye, Y., Xiao, C., Wu, K., Zhuge, Q., & Sha, E. H. M. (2015). User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices. In Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015 (pp. 941-944). Article 7336291 (Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPCC-CSS-ICESS.2015.61

Dai, Jie ; Liu, Weichen ; Lin, Xiaohao et al. / User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices. Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 941-944 (Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015).

@inproceedings{ca1b16ff8ac743cf9dcce803f7653480,

title = "User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices",

abstract = "Mobile devices such as smartphones, tablets and various tiny smart equipment are widely subjected to the limit of energy consumption. Moreover, user experience has become an up-to-the-moment research topic in mobile devices. In most mobile devices, the processor is usually set in a higher frequency level to provide better performance, which would cause the increment of energy consumption. In order to address this issue, in this paper, we propose a novel task scheduling model to harvest the energy saving and user experience improvement in energy-sensitive mobile devices. In our task scheduling model, we introduce the concept of user-centric task, and present tow judgmental principles to determine user-centric tasks (i.e., foreground/interactive tasks). For enhancing user experience, we reduce slack time of the user-centric tasks properly to achieve a shorter response time. We then present two algorithms to calculate the optimal frequencies and allocate the CPU resources. The experimental evaluation results show that our task scheduling model can achieve a tradeoff between energy consumption and performance, and enhance user experience.",

keywords = "Energy consumption, Mobile communication, Mobile handsets, Processor scheduling, Radio spectrum management, Resource management, Scheduling",

author = "Jie Dai and Weichen Liu and Xiaohao Lin and Yaoyao Ye and Chunming Xiao and Kaijie Wu and Qingfeng Zhuge and Sha, \{Edwin H.M.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 ; Conference date: 24-08-2015 Through 26-08-2015",

year = "2015",

month = nov,

day = "23",

doi = "10.1109/HPCC-CSS-ICESS.2015.61",

language = "英语",

series = "Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "941--944",

booktitle = "Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015",

address = "美国",

}

Dai, J, Liu, W, Lin, X, Ye, Y, Xiao, C, Wu, K, Zhuge, Q & Sha, EHM 2015, User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices. in Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015., 7336291, Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015, Institute of Electrical and Electronics Engineers Inc., pp. 941-944, 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015, New York, United States, 24/08/15. https://doi.org/10.1109/HPCC-CSS-ICESS.2015.61

User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices. / Dai, Jie; Liu, Weichen; Lin, Xiaohao et al.
Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 941-944 7336291 (Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices

AU - Dai, Jie

AU - Liu, Weichen

AU - Lin, Xiaohao

AU - Ye, Yaoyao

AU - Xiao, Chunming

AU - Wu, Kaijie

AU - Zhuge, Qingfeng

AU - Sha, Edwin H.M.

PY - 2015/11/23

Y1 - 2015/11/23

N2 - Mobile devices such as smartphones, tablets and various tiny smart equipment are widely subjected to the limit of energy consumption. Moreover, user experience has become an up-to-the-moment research topic in mobile devices. In most mobile devices, the processor is usually set in a higher frequency level to provide better performance, which would cause the increment of energy consumption. In order to address this issue, in this paper, we propose a novel task scheduling model to harvest the energy saving and user experience improvement in energy-sensitive mobile devices. In our task scheduling model, we introduce the concept of user-centric task, and present tow judgmental principles to determine user-centric tasks (i.e., foreground/interactive tasks). For enhancing user experience, we reduce slack time of the user-centric tasks properly to achieve a shorter response time. We then present two algorithms to calculate the optimal frequencies and allocate the CPU resources. The experimental evaluation results show that our task scheduling model can achieve a tradeoff between energy consumption and performance, and enhance user experience.

AB - Mobile devices such as smartphones, tablets and various tiny smart equipment are widely subjected to the limit of energy consumption. Moreover, user experience has become an up-to-the-moment research topic in mobile devices. In most mobile devices, the processor is usually set in a higher frequency level to provide better performance, which would cause the increment of energy consumption. In order to address this issue, in this paper, we propose a novel task scheduling model to harvest the energy saving and user experience improvement in energy-sensitive mobile devices. In our task scheduling model, we introduce the concept of user-centric task, and present tow judgmental principles to determine user-centric tasks (i.e., foreground/interactive tasks). For enhancing user experience, we reduce slack time of the user-centric tasks properly to achieve a shorter response time. We then present two algorithms to calculate the optimal frequencies and allocate the CPU resources. The experimental evaluation results show that our task scheduling model can achieve a tradeoff between energy consumption and performance, and enhance user experience.

KW - Energy consumption

KW - Mobile communication

KW - Mobile handsets

KW - Processor scheduling

KW - Radio spectrum management

KW - Resource management

KW - Scheduling

UR - https://www.scopus.com/pages/publications/84961722028

U2 - 10.1109/HPCC-CSS-ICESS.2015.61

DO - 10.1109/HPCC-CSS-ICESS.2015.61

M3 - 会议稿件

AN - SCOPUS:84961722028

T3 - Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015

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EP - 944

BT - Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015

Y2 - 24 August 2015 through 26 August 2015

ER -

Dai J, Liu W, Lin X, Ye Y, Xiao C, Wu K et al. User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices. In Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 941-944. 7336291. (Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015). doi: 10.1109/HPCC-CSS-ICESS.2015.61

User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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