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dc.contributor.author蘇資翔en_US
dc.contributor.authorSu, Tzu-hsiangen_US
dc.contributor.author陳添福en_US
dc.contributor.authorChen, Tien-Fuen_US
dc.date.accessioned2014-12-12T01:36:27Z-
dc.date.available2014-12-12T01:36:27Z-
dc.date.issued2011en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079679521en_US
dc.identifier.urihttp://hdl.handle.net/11536/44071-
dc.description.abstractAndroid系統採用了Dalvik應用層虛擬機器以便支援各種處理器硬體架構。但是使用Dalvik虛擬機器卻在應用虛擬機器層與Linux核心層間產生了Android上現有效能分析工具無法跨越的障礙。這道障礙使得現有效能分析工具無法有效判斷應用程式的執行瓶頸究竟來自於應用層的程式碼演算法、Linux使用者空間函式庫、或是更底層的Linux核心與驅動。本論文提出利用Dalvik虛擬機器的架構特色與虛擬記憶體替換通道技術達成不導入大量負擔即可克服訊息傳遞障礙的可調鎖定觸發機制垂直性能分析平台。這個性能分析平台可以簡化Android系統上的軟硬體協同設計過程。zh_TW
dc.description.abstractDalvik virtual machine in the Android system creates a profiling barrier between virtual machine applications and Linux user-space libraries. This barrier makes it difficult for existing profiling tools on the Android system to definitively identify whether a bottleneck occurred in application level, Linux user-space level, or Linux kernel level. The proposed the Reconfigurable Vertical Profiling Framework leverages the unique features of Dalvik runtime virtual machine to bridges the gap without introducing large overhead. This profiling framework streamlines the hardware-software co-design process for the Android runtime system.en_US
dc.language.isoen_USen_US
dc.subject垂直性能分析zh_TW
dc.subjectDalvik虛擬機器zh_TW
dc.subjectJavazh_TW
dc.subjectAndroidzh_TW
dc.subject記憶體通道zh_TW
dc.subjectDalvik插入測試模組zh_TW
dc.subjectVertical Profilingen_US
dc.subjectDalvik Virtual Machineen_US
dc.subjectJavaen_US
dc.subjectAndroiden_US
dc.subjectDirect Memory Tunnelen_US
dc.subjectDalvik Instrumentation Moduleen_US
dc.title以內容觸發降低嵌入式行動裝置上虛擬機器垂直性能分析之負擔zh_TW
dc.titleLow Overhead Context-sensitive Vertical Profiling for Virtual Machine Based Mobile Embedded Devicesen_US
dc.typeThesisen_US
dc.contributor.department資訊學院資訊學程zh_TW
Appears in Collections:Thesis


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