AN IN-DEPTH EVALUATION OF FREQUENCY-AWARE SCHEDULER FOR IMPROVING USER EXPERIENCE ON MOBILE DEVICES

Giang Son Tran, Axel Carlier, Daniel Hagimont
Author affiliations

Authors

  • Giang Son Tran CTLab, University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam
  • Axel Carlier University of Toulouse, 2 rue Charles Camichel B.P. 7122, 31071 Toulouse Cedex 7, France
  • Daniel Hagimont University of Toulouse, 2 rue Charles Camichel B.P. 7122, 31071 Toulouse Cedex 7, France

DOI:

https://doi.org/10.15625/1813-9663/38/4/16873

Abstract

Mobile devices are more and more invading our daily life. Users of such devices expect to have a good experience, which is mainly linked with performance. However, higher performance also means a reduction in battery life, negatively contributing to the overall user experience. A common way to balance this performance-battery trade-off is to reduce CPU frequency when underload with Dynamic Voltage and Frequency Scaling. In our previous work, we introduced a Frequency-Aware Completely Fair Scheduler (called FA-CFS), which helps in reducing battery consumption and increasing the smoothness of mobile interface browsing. However, the current evaluation of FA-CFS model is only at quantitative results of power consumption rather than user experience on using their mobile device. In this paper, we perform an in-depth evaluation of the FA-CFS model, both quantitative results for system performance evaluation and qualitative results for user experience on mobile device usage. The experiments show that FA-CFS can reduce the rate of interface frame time peaks by up to 40% in terms of quantitative results and obtains a quantifiable impact on the quality of user experience with a quicker, more responsive interface.

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Published

22-12-2022

How to Cite

[1]
G. S. Tran, A. Carlier, and D. Hagimont, “AN IN-DEPTH EVALUATION OF FREQUENCY-AWARE SCHEDULER FOR IMPROVING USER EXPERIENCE ON MOBILE DEVICES”, JCC, vol. 38, no. 4, p. 311–326, Dec. 2022.

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