Application performance profiling in android Dalvik virtual machines

Hung Cheng Chang, Kuei Chung Chang, Ying-Dar Lin, Yuan Cheng Lai

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1296-1303
Number of pages8
JournalIEICE Transactions on Information and Systems
VolumeE99D
Issue number5
DOIs
StatePublished - 1 May 2016

Keywords

  • Android
  • Dalvik virtual machine
  • Profiling

Fingerprint Dive into the research topics of 'Application performance profiling in android Dalvik virtual machines'. Together they form a unique fingerprint.

Cite this