Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/19477
DC FieldValueLanguage
dc.contributor馮立琪zh_TW
dc.contributorLi-Chi Fengen_US
dc.contributor曾秀松zh_TW
dc.contributor張大緯zh_TW
dc.contributor徐玉青zh_TW
dc.contributorShow-Shiow Tzengen_US
dc.contributorDa-Wei Changen_US
dc.contributorYu-Ching Hsuen_US
dc.contributor.advisor張軒彬zh_TW
dc.contributor.advisorHsung-Pin Changen_US
dc.contributor.author陳序豪zh_TW
dc.contributor.authorChen, Hsu-Haoen_US
dc.contributor.other中興大學zh_TW
dc.date2008zh_TW
dc.date.accessioned2014-06-06T07:06:51Z-
dc.date.available2014-06-06T07:06:51Z-
dc.identifierU0005-2708200715580400zh_TW
dc.identifier.citation[1] Athanasios E. Papathanasiou and Michael L. Scott, “Energy Efficient Prefetching and. Caching,” in Proc. the USENIX 2004 Annual Technical Conference, pp. 255-268 [2] K. Li et al., "A Quantitative Analysis of Disk Drive Power Management in Portable Computers", Proceedings of USENIX Winter 1994 Conference, Jan. 17-21, 1994, pp. 279-291 [3] E. V. Carrera, E. Pinheiro, and R. Bianchini, “Conserving disk energy in network servers,” in Proceedings of the ernational Conference on Supercomputing, pp. 86-97, ACM Press, June 23-26 2003. [4] PAPATHANASIOU, A. E., AND SCOTT, M. L. “Increasing Disk Burstiness for Energy Efficiency.” Tech. Rep. 792, Computer Science Departmeny, University of Rochester, Nov. 2002. [5] Douglis F, Krishnan P, Bershad B. “Adaptive disk spin-down policies for mobile computers.” In: Arbor A, ed. Proc. of the 2nd Usenix Symp. on Mobile and Location-Independent Computing (MOBLIC). Berkeley: USENIX Association, 1995. 121-137. [6] Le Cai, Yung-Hsiang Lu “Dynamic Power Management Using Data Buffers.” DATE 2004: 526-531 [7] Eui-Young Chung,Luca Benini,Giovanni De Micheli. “Dynamic Power Management Using Adaptive Learning Tree.” International Conference on Computer Aided Design[C].San Jose,CA,USA:ACM Press,1999-11.274-279. [8] Bjorn Beutel “Saving Energy by Coordinating Hard Disk Accesses.”, Semester Thesis SA-I4-2002-06, April 17, 2002. [9] PATTERSON, R. H., GIBSON, G., GINTING, E., STODOLSKY, D., AND ZELENKA, J. “Informed Prefetching and Caching.” In Proc. of the 15th ACM Symp. on Operating Systems Principles (Dec. 1995), pp. 79-95 [10]“Hitachi Travelstar 80GN Hard Disk Drive Specification”, available at http://www.hgst.com/tech/techlib.nsf/techdocs/ 85CC1FF9F3F11FE187256C4F0052E6B6 ,Sep. 2003. [11] Daniel P. Bovet, Marco Cesati“Understanding the LINUX KERNEL”,3nd Edition 2005 [12] Robert Love “Linux Kernel Development Second Edition” 2005 [13] Claudia Salzberg Rodriguez, Gordon Fischer, Steven Smolski “The Linux Kernel Primer: A Top-Down Approach for x86 and PowerPC Architectures” 2005zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/19477-
dc.description.abstract隨著資訊技術的進步,帶動可攜式智慧型電子商品的蓬勃發展,且有越來越多的商品都配有硬碟儲存裝置,讓使用者可以随時随地聆聽成千上萬首音樂、看電影或攝影等等,因此,我們需要一套有效硬碟電源管理機制,提高硬碟閒置時間,達到省電目的,進而提昇可攜式裝置的使用時間。本篇論文以預取與暫存能源管理機制為基礎,並針對系統記憶體高負載不足時所會發生的省電效能低落問題,提出利用行程排程方式進一步去改善省電效率,再針對實作流程提出改善,以達最小化程式修改。zh_TW
dc.description.abstractFollowing the progress of technology, more and more portable intelligent products configure with hard disk. With this advantage, user can listen to thousands of music, see the movies or telegraph and so on. Therefore, we need a set of efficient power management to rise idle time of hard disk and promote portable device which can efficiently prefetching and caching energy. This thesis is based on prefeching and caching energy efficiently and aimed at high memory which can reduce saving energy. Thus, we would propose process schedule to improve energy efficiently and we would minimize the programming following the experiment.en_US
dc.description.tableofcontents第一章 緒論 1 1.1 研究動機 1 1.2 研究目的 2 1.3 論文結構 3 第二章 相關研究及背景知識 4 2.1 背景知識 4 2.1.1 硬碟電源模式 4 2.1.2 Linux Page 5 2.1.3 Linux 檔案預取 8 2.2 相關研究 9 2.2.1 Threshold 9 2.2.2 Prediction 10 2.2.3 Cache Buffer 11 2.2.4 Multi-Speed 12 2.2.5 Prefetching And Caching 12 第三章 系統設計與實作 14 3.1 系統設計 14 3.2 系統實作 15 3.2.1 實作app_hint系統呼叫 15 3.2.2 實作prefetchd核心執行緒 16 3.2.3 硬碟省電排程 20 3.2.4 檔案開啟、關閉流程 22 3.2.5 檔案讀取流程 23 3.2.6 檔案寫入流程 25 第四章 實驗結果 28 4.1 實驗環境 28 4.1.1 實驗平台 28 4.1.2 前置設定 28 4.1.3 Log資料統計與分析 29 4.1.4 硬碟相關參數 30 4.1.5 軟體平台與應用程式 30 4.2 應用程式修改 31 4.3 作業系統核心修改過檔案清單 31 4.4 實驗設計 32 4.5 實驗結果與分析 32 4.5.1 實驗結果 32 4.5.2 實驗結果分析 36 第五章 結論與未來發展 37 5.1 結論 37 5.2 未來發展 37 參考文獻 39zh_TW
dc.language.isoen_USzh_TW
dc.publisher資訊科學系所zh_TW
dc.relation.urihttp://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2708200715580400en_US
dc.subjectcachingen_US
dc.subject暫存zh_TW
dc.subjectprefetchingen_US
dc.subjectenergy efficienten_US
dc.subject預取zh_TW
dc.subject硬碟電源管理zh_TW
dc.title以CPU排程增強預取與暫存的能源省電方法zh_TW
dc.titleCPU Scheduling Enhanced Energy Efficient Prefetching and Cachingen_US
dc.typeThesis and Dissertationzh_TW
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