This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Dynamic Backlight Scaling Optimization: A Cloud-Based Energy-Saving Service for Mobile Streaming Applications
Feb. 2014 (vol. 63 no. 2)
pp. 335-348
Chun-Han Lin, Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan
Pi-Cheng Hsiu, Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan
Cheng-Kang Hsieh, Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USA
With the increasing variety of mobile applications, reducing the energy consumption of mobile devices is a major challenge in sustaining multimedia streaming applications. This paper explores how to minimize the energy consumption of the backlight when displaying a video stream without adversely impacting the user's visual experience. First, we model the problem as a dynamic backlight scaling optimization problem. Then, we propose algorithms to solve the fundamental problem and prove the optimality in terms of energy savings. Finally, based on the algorithms, we present a cloud-based energy-saving service. We have also developed a prototype implementation integrated with existing video streaming applications to validate the practicability of the approach. The results of experiments conducted to evaluate the efficacy of the proposed approach are very encouraging and show energy savings of 15-49 percent on commercial mobile devices.
Index Terms:
Streaming media,Heuristic algorithms,Energy consumption,Mobile handsets,Optimization,Mobile communication,Multimedia communication,cloud services,Streaming media,Heuristic algorithms,Energy consumption,Mobile handsets,Optimization,Mobile communication,Multimedia communication,mobile devices,Energy-efficient optimization,dynamic backlight scaling,multimedia streaming applications
Citation:
Chun-Han Lin, Pi-Cheng Hsiu, Cheng-Kang Hsieh, "Dynamic Backlight Scaling Optimization: A Cloud-Based Energy-Saving Service for Mobile Streaming Applications," IEEE Transactions on Computers, vol. 63, no. 2, pp. 335-348, Feb. 2014, doi:10.1109/TC.2012.210
Usage of this product signifies your acceptance of the Terms of Use.