Android平台电源管理关键技术的研究与实现

发布时间：2018-11-25 08:04

【摘要】：在信息技术快速发展的今天,基于Android平台便携式智能手机己经越来越普及,悄无声息地融入到现代社会生活的各个方面。由于受到Android手机外形、体积以及散热等因素的限制,又要达到一定的系统性能,导致Android智能手机续航能力不能满足人们的需求,而对手机进行有效地电源管理可在一定程度上提高手机的续航能力。因此,基于Android平台上,提出了一种基于电源管理的DVFS技术,以期望实现降低Android手机的功耗以及通过空间复杂度换取时间复杂度的方法减少温度映射表的查询次数。本文的主要研究工作如下:1.针对CPU高功耗的问题,本文提出电源管理优化CPU功耗的技术。该技术分析了嵌入式设备中CMOS集成电路的功耗来源,包括动态功耗和静态功耗,同时引入了Linux电源管理策略和低功耗关键技术DVFS。本文通过有效的电源管理策略,降低了CPU的功耗。2.针对Android手机高功耗问题,本文结合Android动态电源管理的DVFS技术,提出了一种优化的细颗粒CPU调频低功耗XL算法。该算法动态调节CPU的频率,降低了Android手机的功耗。实验结果表明,在手机录像时,低功耗LHF算法比没有经过功耗优化的功率降低4.22%,本文提出的低功耗XL算法比没有经过功耗优化的功率降低了5.04%,因此,低功耗XL算法比低功耗LHF算法的功率减少了0.82%,进一步提高了Android手机的续航能力。3.针对Android系统温度映射表的查找时间复杂度的问题,本文提出一种基于英特尔平台的优化温度查找算法。通过分析了Android温度查找的原理,并以英特尔平台的电源管理单元和相关实验测试工具为基础进行试验。实验结果表明,虽然增加了空间复杂度,但是温度映射表的查找次数减少了60%,从而提高了系统执行效率。
[Abstract]:With the rapid development of information technology, portable smart phones based on Android platform have become more and more popular and have been quietly integrated into all aspects of modern social life. Because of the limitation of Android mobile phone shape, volume and heat dissipation, the Android smartphone can not meet the needs of people because of the limited system performance. The effective power management of mobile phone can improve the ability of mobile phone to a certain extent. Therefore, based on Android platform, a DVFS technology based on power management is proposed to reduce the power consumption of Android mobile phone and reduce the query times of temperature mapping table by using space complexity in exchange for time complexity. The main work of this paper is as follows: 1. Aiming at the problem of high power consumption in CPU, this paper proposes a power management optimization technique for CPU power consumption. This technology analyzes the power sources of CMOS integrated circuits in embedded devices, including dynamic power consumption and static power consumption. At the same time, it introduces Linux power management strategy and DVFS., the key technology of low power consumption. In this paper, the power consumption of CPU is reduced by effective power management strategy. Aiming at the problem of high power consumption of Android mobile phone, this paper presents an optimized XL algorithm of fine particle CPU frequency modulation and low power XL, combined with the DVFS technology of Android dynamic power management. The algorithm dynamically adjusts the frequency of CPU and reduces the power consumption of Android mobile phone. The experimental results show that the low power LHF algorithm is 4.22% lower than that without power optimization in mobile video recording. The low power XL algorithm proposed in this paper is 5.04 lower than that without power optimization. The low power XL algorithm reduces the power of the low power LHF algorithm by 0. 82 and further improves the Android mobile phone's ability to live. 3. In order to solve the problem of the time complexity of the temperature mapping table in Android system, this paper proposes an optimized temperature lookup algorithm based on Intel platform. The principle of Android temperature searching is analyzed, and the experiment is carried out on the basis of the power management unit of Intel platform and the related experimental test tools. The experimental results show that although the space complexity is increased, the search times of the temperature mapping table are reduced by 60 times, and the efficiency of the system execution is improved.
【学位授予单位】：兰州理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.53;TP316

【参考文献】