標題: Reconfigurable Vertical Profiling Framework for the Android Runtime System
作者: Su, Tzu-Hsiang
Tsai, Hsiang-Jen
Yang, Keng-Hao
Chang, Po-Chun
Chen, Tien-Fu
Zhao, Yi-Ting
交大名義發表
National Chiao Tung University
關鍵字: Design;Performance;Profiling;vertical profiling;virtual machine profiling;nonintrusive profiling;embedded systems
公開日期: 1-Jan-2014
摘要: Dalvik virtual machine in the Android system creates a profiling barrier between VM-space applications and Linux user-space libraries. It is difficult for existing profiling tools on the Android system to definitively identify whether a bottleneck occurred in the application level, the Linux user-space level, or the Linux kernel level. Information barriers exist between VM-space applications and Linux native analysis tools due to runtime virtual machines' dynamic memory allocation mechanism. Furthermore, traditional vertical profiling tools targeted for Java virtual machines cannot be simply applied on the Dalvik virtual machine due to its unique design. The proposed the Reconfigurable Vertical Profiling Framework bridges the information gap and streamlines the hardware-software co-design process for the Android runtime system.
URI: http://dx.doi.org/10.1145/2544375.2544379
http://hdl.handle.net/11536/23866
ISSN: 1539-9087
DOI: 10.1145/2544375.2544379
期刊: ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS
Volume: 13
Issue: 
結束頁: 
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