An effective feedback-driven approach for energy saving in battery powered systems

Le, Duy; Wang, Haining

doi:10.1109/iwqos.2010.5542738

Cited by 10 publications

(3 citation statements)

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“…Narseo made a statistical analysis on the energy consumption of different types of Apps in [26]. Besides, [13] discussed the impact on energy consumption of cooperation between Apps and operating system. [18] [20] proposed the concept of energy bug in smartphones and gave a first trial on diagnosing energy bugs.…”

Section: Related Workmentioning

confidence: 99%

E ³

Han

Zhu

et al. 2013

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

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Touch-screen technique has gained the large popularity in human-screen interaction with modern smartphones. Due to the limited size of equipped screens, scrolling operations are indispensable in order to display the content of interest on screen. While power consumption caused by hardware and software installed within smartphones is well studied, the energy cost made by human-screen interaction such as scrolling remains unknown. In this paper, we analyze the impact of scrolling operations to the power consumption of smartphones, finding that the state-of-art strategy of smartphones in responding a scrolling operation is to always use the highest frame rate which arouses huge computation burden and can contribute nearly 50% to the total power consumption of smartphones. In recognizing this significance, we further propose a novel system, Energy-Efficient Engine(E 3 ), which automatically tracks the scrolling speed and adaptively adjusts the frame rate according to individual user preference. The goal of E 3 is to guarantee the user experience and minimize the energy consumption caused by scrolling at the same time. Extensive experiment results demonstrate the efficiency of E 3 design. On average, E 3 can save up to 58% of the energy consumed by CPU and 34% of the overall energy consumption.

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Section: Related Workmentioning

confidence: 99%

E ³

Han

Zhu

et al. 2013

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

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“…Given the increasing concern on saving energy whenever is possible, a great number of research developments can be found related to energy consumption optimization in microprocessor-based systems, even with the application of control techniques [9]…”

Section: Chapter 2 Related Workmentioning

confidence: 99%

“…In recent years, there has been continuous consideration, research, and innovation of the energy management of mobile devices, not only in battery-operated systems [11] [12] but also in wireless networks [13] and multimedia applications [14]- [17]. To reduce power consumption of embedded processors, a Power Management Unit (PMU) with Power management (PM) capability is often employed.…”

Section: Introductionmentioning

confidence: 99%

Control algorithms for energy optimization in multimedia hand-held devices

Tang¹

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The microelectronics industry has been boosting the capabilities of multimedia mobile devices, but the battery, which is the only power source of most mobile devices, is experiencing relatively slow development. Therefore, determining how to optimize the energy consumption of mobile devices under a predefined performance requirement has become a critical issue. Besides, according to a recent report, tablet and smartphone video consumption grew 35% in the year 2014 and has grown 170% since 2013. Actually, mobile video playback has experienced a significant growth of 2084% from 2011 to 2015. As some of the most energy-consuming tasks, First, I would like to thank my supervisors, Dr. Ángel M. Groba and Eduardo Juárez, for their valuable feedback and support throughout this work. Their support, diligence, and commitment to high-quality research have contributed significantly to this thesis. I am also grateful to all the professors and lab mates in GDEM-CITSEM: César Sanz, Matías J. Garrido, Fernando Pescador and Pedro J. Lobo, for their efforts in providing and creating such a friendly and helpful working environment in the lab. Thanks also to my colleagues: Rong Ren, Jianguo Wei, Henry O. Cruz and Miguel Chavarrías. I have learned a lot from each of them; our friendships have made my time at GDEM an enjoyable and unique experience. Thanks to Paula and Enrique, I have benefited a lot through the cooperation and the exchange of ideas with them. Finally, I would like to acknowledge and appreciate the financial support from China Scholarship Council (CSC) and GDEM. Besides, I would like to express my love and appreciation to my parents. Thanks for them to bring me up and support good quality of education for me. During these years, I met difficulties and setbacks that taught me to grow and hone my character. I benefit from the doctoral stage of study, and no matter where I work in the future, I will keep a serious and focused researcher, and strive to do everything for the community to contribute to their own strength. I would like to thank all my friends: Rong Ren,

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