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論文中文名稱:基於動態預測模型之手持式串流播放裝置省電設計 [以論文名稱查詢館藏系統]
論文英文名稱:Low power design in handheld media streaming playback devices based on a dynamic prediction model [以論文名稱查詢館藏系統]
院校名稱:臺北科技大學
學院名稱:電資學院
系所名稱:資訊工程系研究所
畢業學年度:99
出版年度:100
中文姓名:蔡明諺
英文姓名:Min-Yen Tsai
研究生學號:98598017
學位類別:碩士
語文別:中文
口試日期:2011-07-27
論文頁數:82
指導教授中文名:梁文耀
指導教授英文名:WEN-YEW LIANG
口試委員中文名:謝仁偉;陳彥霖
口試委員英文名:Jen-Wei Hsieh;Yen-Lin Chen
中文關鍵詞:串流媒體撥放動態電壓調整動態預測模型
英文關鍵詞:Low PowerPower Predictdynamic prediction model
論文中文摘要:本文主要針對手持式串流媒體播放裝置提出低功耗的電源管理設計,在之前的研究中涵括對緩衝區容量的分析以及傳輸協定,如時間片段(Time Slicing)所作省電設計。有別於前者,我們的考量點是從系統層面著手,藉由動態預測下一個時間點的功耗狀況,使用動態電壓調整達到降低功耗的目的。

為了動態的預測功耗狀況,需要一模型協助我們找出裝置狀態與電壓頻率之間的關係。為了建構此模型,我們先使用軟體預估的方式。將作業系統所提供的參數,建立回歸模型估算出裝置運作時所消耗的功率。再將媒體撥放時的狀態,其中包含功率消耗、幀率、工作負載與網路使用的資料建立成表格,並利用此表格評估撥放時下一個時間區段的狀態。最後將執行狀況與功率消耗關係利用回饋修正的方式映射到適當的電壓頻率,並進行調整使系統維持最適合的功率消耗,以達到Low Power目的。
論文英文摘要:In this thesis, we focus on low power design of handheld media streaming playback devices. The design issues of the research include buffer size analysis and transmission protocol. Unlike previous works, our approach is to address the problem at system level. By predicting power consumption for the next interval during playback, reduction in power consumption could be achieved by using DVFS.

In order to predict power consumption dynamically, a predict model is needed which help us find the device status and the relationship between voltage and frequency. To construct the model, the software estimation method which captures operating system’s parameters as regression model is used to estimate device power consumption at first.

Then, we record the state of media playback which includes power consumption, frame rate, workload, and network status as a table and use it to predict the state of next time interval. Finally, the predicted state is mapped into a combination of frequency and voltage, which are scaled accordingly, to make the system more power efficient.
論文目次:目 錄

摘 要 II
ABSTRACT III
誌謝 V
表目錄 VIII
圖目錄 IX
第一章 緒論 1
1.1研究背景與動機 1
1.2研究目的 2
1.3研究範圍 2
1.4論文編排 2
第二章 相關文獻探討 3
2.1 動態頻率電壓調整 3
2.2 衡量能源消費量 5
2.3 功率消耗評估技術 6
2.4 品質能量比 7
第三章 研究議題與方法 11
3.1研究方法 11
3.2 系統架構圖 12
3.3系統參數側錄 15
3.4能耗估計 17
3.5 行為預測 20
3.6頻率對映 26
第四章 實驗結果評估及分析 32
第五章 結論 51
參考文獻 52
附錄 55



表目錄

表1 行為列表 20
表2 頻率對映表格 22
表3 狀態決策表 25
表4 SAMSUNG GALAXY TAB規格表 32
表5 實驗設計規格表 33

圖目錄

圖1多媒體串流架構圖 01
圖2 DVFS觀念應用在在即時系統 05
圖3功率消耗與能量消耗的關係 07
圖4系統架構圖 12
圖5 GOOGLE ANDROID ARCHITECTURE 13
圖6系統流程圖 14
圖7參數側錄模組類別圖 15
圖8 SINGLETON PATTERN類別圖 15
圖9 ANDROID 2.3電源管理 17
圖10 PTOP架構圖 18
圖11 TABLE BASED PREDICTOR 25
圖12 MAPPING演算法1 27
圖13行為預測與頻率對應的關係 28
圖14調整頻率對S6狀態的影響 29
圖15 MAPPING演算法2 31
圖16 HARBOUR中的第 10張FRAME 35
圖17 HARBOUR中的第 170張FRAME 35
圖18 HIGHWAY中的第 110張FRAME 36
圖19 HIGHWAY中的第 170張FRAME 36
圖20實驗1功率消耗 37
圖21實驗1之QE RATIO 38
圖22實驗1 HARBOUR原圖與演算法後之比較 39
圖23實驗1 HIGHWAY原圖與演算法後之比較 40
圖24實驗2網路活動圖 41
圖25實驗2之平均功耗 42
圖26實驗2之QE RATIO 43
圖27實驗2 HARBOUR原圖與演算法後之比較 44
圖28實驗2 HIGHWAY原圖與演算法後之比較 45
圖29實驗3網路活動圖 46
圖30實驗3之平均功率消耗 47

圖31實驗3之QE RATIO 48
圖32實驗3 HARBOUR原圖與演算法後之比較 49
圖33實驗3 HIGHWAY原圖與演算法後之比較 50
論文參考文獻:參考文獻

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論文全文使用權限:同意授權於2016-08-23起公開