IEICE TRANSACTIONS on Information
Application Performance Profiling in Android Dalvik Virtual Machines
Summary :
Most Android applications are written in JAVA and run on a Dalvik virtual machine. For smartphone vendors and users who wish to know the performance of an application on a particular smartphone but cannot obtain the source code, we propose a new technique, Dalvik Profiler for Applications (DPA), to profile an Android application on a Dalvik virtual machine without the support of source code. Within a Dalvik virtual machine, we determine the entry and exit locations of a method, log its execution time, and analyze the log to determine the performance of the application. Our experimental results show an error ratio of less than 5% from the baseline tool Traceview which instruments source code. The results also show some interesting behaviors of applications and smartphones: the performance of some smartphones with higher hardware specifications is 1.5 times less than the phones with lower specifications. DPA is now publicly available as an open source tool.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.5 pp.1296-1303
- Publication Date
- 2016/05/01
- Publicized
- 2016/01/25
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDP7277
- Type of Manuscript
- PAPER
- Category
- Software System
Authors
Hung-Cheng CHANG
National Chiao Tung University
Kuei-Chung CHANG
Feng Chia University
Ying-Dar LIN
National Chiao Tung University
Yuan-Cheng LAI
National Taiwan University of Science and Technology
Keyword
Latest Issue
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Hung-Cheng CHANG, Kuei-Chung CHANG, Ying-Dar LIN, Yuan-Cheng LAI, "Application Performance Profiling in Android Dalvik Virtual Machines" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 5, pp. 1296-1303, May 2016, doi: 10.1587/transinf.2015EDP7277.
Abstract: Most Android applications are written in JAVA and run on a Dalvik virtual machine. For smartphone vendors and users who wish to know the performance of an application on a particular smartphone but cannot obtain the source code, we propose a new technique, Dalvik Profiler for Applications (DPA), to profile an Android application on a Dalvik virtual machine without the support of source code. Within a Dalvik virtual machine, we determine the entry and exit locations of a method, log its execution time, and analyze the log to determine the performance of the application. Our experimental results show an error ratio of less than 5% from the baseline tool Traceview which instruments source code. The results also show some interesting behaviors of applications and smartphones: the performance of some smartphones with higher hardware specifications is 1.5 times less than the phones with lower specifications. DPA is now publicly available as an open source tool.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDP7277/_p
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@ARTICLE{e99-d_5_1296,
author={Hung-Cheng CHANG, Kuei-Chung CHANG, Ying-Dar LIN, Yuan-Cheng LAI, },
journal={IEICE TRANSACTIONS on Information},
title={Application Performance Profiling in Android Dalvik Virtual Machines},
year={2016},
volume={E99-D},
number={5},
pages={1296-1303},
abstract={Most Android applications are written in JAVA and run on a Dalvik virtual machine. For smartphone vendors and users who wish to know the performance of an application on a particular smartphone but cannot obtain the source code, we propose a new technique, Dalvik Profiler for Applications (DPA), to profile an Android application on a Dalvik virtual machine without the support of source code. Within a Dalvik virtual machine, we determine the entry and exit locations of a method, log its execution time, and analyze the log to determine the performance of the application. Our experimental results show an error ratio of less than 5% from the baseline tool Traceview which instruments source code. The results also show some interesting behaviors of applications and smartphones: the performance of some smartphones with higher hardware specifications is 1.5 times less than the phones with lower specifications. DPA is now publicly available as an open source tool.},
keywords={},
doi={10.1587/transinf.2015EDP7277},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Application Performance Profiling in Android Dalvik Virtual Machines
T2 - IEICE TRANSACTIONS on Information
SP - 1296
EP - 1303
AU - Hung-Cheng CHANG
AU - Kuei-Chung CHANG
AU - Ying-Dar LIN
AU - Yuan-Cheng LAI
PY - 2016
DO - 10.1587/transinf.2015EDP7277
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2016
AB - Most Android applications are written in JAVA and run on a Dalvik virtual machine. For smartphone vendors and users who wish to know the performance of an application on a particular smartphone but cannot obtain the source code, we propose a new technique, Dalvik Profiler for Applications (DPA), to profile an Android application on a Dalvik virtual machine without the support of source code. Within a Dalvik virtual machine, we determine the entry and exit locations of a method, log its execution time, and analyze the log to determine the performance of the application. Our experimental results show an error ratio of less than 5% from the baseline tool Traceview which instruments source code. The results also show some interesting behaviors of applications and smartphones: the performance of some smartphones with higher hardware specifications is 1.5 times less than the phones with lower specifications. DPA is now publicly available as an open source tool.
ER -
English
