WAEAS: An optimization scheme of EAS scheduler for wearable applications
نویسندگان
چکیده
The rapid development of wearable computing technologies has led to an increased involvement devices in the daily lives people. main power sources are batteries; so, researchers must ensure high performance while reducing consumption and improving battery life devices. purpose this study is analyze new features Energy-Aware Scheduler (EAS) Android 7.1.2 operating system scarcity EAS schedulers application scenarios. Also, paper proposed optimization scheme scheduler for applications (Wearable-Application-optimized (WAEAS)). This improves accuracy task workload prediction, energy efficiency central processing unit core selection, load balancing. experimental results presented have verified effectiveness a WAEAS scheduler.
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ژورنال
عنوان ژورنال: Tsinghua Science & Technology
سال: 2021
ISSN: ['1878-7606', '1007-0214']
DOI: https://doi.org/10.26599/tst.2019.9010040