{"title":"AN IN-DEPTH EVALUATION OF FREQUENCY-AWARE SCHEDULER FOR IMPROVING USER EXPERIENCE ON MOBILE DEVICES","authors":"Giang Son Tran, A. Carlier, D. Hagimont","doi":"10.15625/1813-9663/38/4/16873","DOIUrl":null,"url":null,"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.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"69 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Science and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15625/1813-9663/38/4/16873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.