User Experience Enhanced Task Scheduling and Processor Frequency Scaling for Energy-Sensitive Mobile Devices
| Autor: | Qingfeng Zhuge, Jie Dai, Xiaohao Lin, Edwin H.-M. Sha, Yaoyao Ye, Chunming Xiao, Kaijie Wu, Weichen Liu |
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| Rok vydání: | 2015 |
| Předmět: |
Least slack time scheduling
Computer science business.industry Real-time computing Mobile computing Energy consumption Dynamic priority scheduling Round-robin scheduling Fair-share scheduling Scheduling (computing) Fixed-priority pre-emptive scheduling User experience design Mobile station Two-level scheduling Embedded system Resource management business Mobile device |
| Zdroj: | HPCC/CSS/ICESS |
| Popis: | Mobile devices such as smartphones, tablets and various tiny smart equipment are widely subjected to the limit of energy consumption. Moreover, user experience has become an up-to-the-moment research topic in mobile devices. In most mobile devices, the processor is usually set in a higher frequency level to provide better performance, which would cause the increment of energy consumption. In order to address this issue, in this paper, we propose a novel task scheduling model to harvest the energy saving and user experience improvement in energy-sensitive mobile devices. In our task scheduling model, we introduce the concept of user-centric task, and present tow judgmental principles to determine user-centric tasks (i.e., foreground/interactive tasks). For enhancing user experience, we reduce slack time of the user-centric tasks properly to achieve a shorter response time. We then present two algorithms to calculate the optimal frequencies and allocate the CPU resources. The experimental evaluation results show that our task scheduling model can achieve a tradeoff between energy consumption and performance, and enhance user experience. |
| Databáze: | OpenAIRE |
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