Application state aware GC selection optimization in Android

Shintaro Hamanaka, S. Kurihara, S. Fukuda, M. Oguchi, Saneyasu Yamaguchi
{"title":"Application state aware GC selection optimization in Android","authors":"Shintaro Hamanaka, S. Kurihara, S. Fukuda, M. Oguchi, Saneyasu Yamaguchi","doi":"10.1109/ICCE-TW.2016.7520974","DOIUrl":null,"url":null,"abstract":"Android operating system has a function, called LowMemoryKiller, which forcibly terminates application processes when size of available memory is less than the threshold. On reusing the same application again, re-creation of a process is required and takes longer time. ART (Android Runtime environment) has several GC (Garbage Collection) implementations, and choice of GC has effect on size of processes and behavior of LowMemoryKiller. In this paper, we investigate performance of GC implementations and propose a method for choosing GC implementation depending on application size and state. Then, we show our experimental results and demonstrate that our method reduces the number of process terminations cause by LowMemoryKiller.","PeriodicalId":6620,"journal":{"name":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"72 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2016.7520974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Android operating system has a function, called LowMemoryKiller, which forcibly terminates application processes when size of available memory is less than the threshold. On reusing the same application again, re-creation of a process is required and takes longer time. ART (Android Runtime environment) has several GC (Garbage Collection) implementations, and choice of GC has effect on size of processes and behavior of LowMemoryKiller. In this paper, we investigate performance of GC implementations and propose a method for choosing GC implementation depending on application size and state. Then, we show our experimental results and demonstrate that our method reduces the number of process terminations cause by LowMemoryKiller.
Android中应用状态感知GC选择优化
Android操作系统有一个名为LowMemoryKiller的函数,它会在可用内存小于阈值时强制终止应用程序进程。在再次重用相同的应用程序时,需要重新创建流程,并且需要更长的时间。ART (Android运行时环境)有几个GC(垃圾收集)实现,GC的选择会影响进程的大小和LowMemoryKiller的行为。在本文中,我们研究了GC实现的性能,并提出了一种根据应用程序大小和状态选择GC实现的方法。然后,我们展示了我们的实验结果,并证明我们的方法减少了由LowMemoryKiller引起的进程终止次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信