Address Chain: Profiling Java Objects without Overhead in Java Heaps

Shi, Xiaohua; Xie, Junru; Yu, Hengyang

doi:10.1007/978-3-319-12736-1_22

Cited by 2 publications

(1 citation statement)

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“…Other researchers have implemented tools to profile Android system and applications in IO overhead [7] , privacy leak [1] , application behaviour [14] , resource leak [19] , energy consumption [3] , etc. There are many researches and tools in other platform to track information of Java objects [2,4,6,8,9,10,13,16,17] . But these tools are not designed for the ART virtual machine and not available in Android platform.…”

Section: Introductionmentioning

confidence: 99%

YA-JOP:Yet Another Java Object Profiler On Art Virtual Machine

Wang¹,

Shi²,

Li³

2017

Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC

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In this paper, we design and implement an efficient and low overhead Java object profiler called YA-JOP on Android 6.0 and its ART virtual machine, which uses an AOT(ahead-oftime) compiler. YA-JOP records the allocation site, the class information, the object size, the birth time and death time, the last access time and the access regular pattern for every Java object. The data profiled can help the developers to detect memory leaks, find reusable objects, implement optimizations like pretenuring, etc. The profiler proposed in this paper has reasonable execution time overhead, imposes no overhead on the Java heap and does not modify any existing key data structure of the ART Virtual Machine, including the object layouts, class layouts and any others.

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