【摘要】：電子電路集成工藝的飛速發(fā)展使計(jì)算機(jī)系統(tǒng)體積不斷縮小,性能不斷地提升,同時(shí)移動(dòng)通信技術(shù)的發(fā)展讓這些計(jì)算機(jī)系統(tǒng)更加的便攜,許多便攜式計(jì)算機(jī)開始使用電池供電。我們知道高性能運(yùn)算通常伴隨著高功耗,而電池技術(shù)的嚴(yán)重滯后和人們環(huán)保意識(shí)的增加使得性能和功耗之間的問(wèn)題越發(fā)凸顯。電源管理技術(shù)的出現(xiàn)緩和了兩者之間的矛盾,電源管理技術(shù)通過(guò)有效的電源分配降低系統(tǒng)的整體功耗。電源管理技術(shù)在桌上型計(jì)算機(jī)、服務(wù)器上十分常見,然而在嵌入式領(lǐng)域,由于嵌入式系統(tǒng)的開發(fā)通常是針對(duì)特殊的應(yīng)用場(chǎng)合,電源管理技術(shù)發(fā)展相對(duì)緩慢,例如,通用電源管理軟件比較少,也沒有統(tǒng)一的標(biāo)準(zhǔn)規(guī)范。為了引入通用電源管理技術(shù)到嵌入式領(lǐng)域,本文研究了靜態(tài)電源管理和動(dòng)態(tài)電源管理。在靜態(tài)電源管理方面,本文首先對(duì)現(xiàn)有靜態(tài)電源管理的相關(guān)技術(shù)進(jìn)行了分析,提出在嵌入式系統(tǒng)里實(shí)現(xiàn)靜態(tài)電源管理的方法,并在樣機(jī)上實(shí)現(xiàn)靜態(tài)電源管理中的睡眠和休眠兩個(gè)功能；在動(dòng)態(tài)電源管理方面,本文首先分析和比較目前流行動(dòng)態(tài)電源管理的策略,包括：貪婪策略,超時(shí)策略,預(yù)測(cè)策略,基于隨機(jī)過(guò)程策略,然后指出了當(dāng)前這幾個(gè)策略中的存在若干問(wèn)題,并由此提出動(dòng)態(tài)自適應(yīng)策略包括指數(shù)平均自適應(yīng)算法和分類滑動(dòng)窗口自適應(yīng)算法。文中通過(guò)對(duì)靜態(tài)電源管理睡眠和休眠兩個(gè)功能在樣機(jī)上的實(shí)現(xiàn),證明了本文給出靜態(tài)電源管理在嵌入式系統(tǒng)上應(yīng)用的可行性和實(shí)用性,同時(shí)通過(guò)對(duì)動(dòng)態(tài)電源管理的模擬實(shí)現(xiàn)的結(jié)果,分析和證明了本文中自適應(yīng)策略的優(yōu)勢(shì)。
[Abstract]:With the rapid development of electronic circuit integration technology, the volume of computer system is shrinking and the performance of computer system is improving. At the same time, with the development of mobile communication technology, these computer systems become more portable, and many portable computers begin to use battery power supply. We know that high performance computing is usually accompanied by high power consumption, and the serious lag of battery technology and the increasing awareness of environmental protection make the problem between performance and power become more and more serious. The emergence of power management technology alleviates the contradiction between the two. Power management technology reduces the overall power consumption of the system through effective power allocation. Power management technology is very common in desktop computers and servers. However, in embedded field, the development of power management technology is relatively slow because embedded systems are usually developed for special applications. For example, General power management software is less, and there is no uniform standard. In order to introduce general power management technology into embedded field, static power management and dynamic power management are studied in this paper. In the aspect of static power management, this paper firstly analyzes the existing technology of static power management, and puts forward the method of realizing static power management in embedded system. In the aspect of dynamic power management, this paper first analyzes and compares the popular dynamic power management strategies, including: greedy strategy, time-out strategy, prediction strategy. Based on the stochastic process strategy, this paper points out some problems in these strategies, and then puts forward some dynamic adaptive strategies, including exponential average adaptive algorithm and classification sliding window adaptive algorithm. Through the realization of the static power management sleep and sleep functions on the prototype, the feasibility and practicability of the static power management in embedded system are proved in this paper. At the same time, through the simulation of dynamic power management, the advantages of adaptive strategy in this paper are analyzed and proved.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TP368.1;TN86

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前2條

1 宋振孝;基于GINI指數(shù)分類的嵌入式CPU功耗預(yù)測(cè)優(yōu)化方法研究[D];西北大學(xué);2013年

2 馬齊成;基于Android平臺(tái)電源管理的研究與實(shí)現(xiàn)[D];華南理工大學(xué);2013年

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本文編號(hào)：2138528