{"title":"Android应用程序的内存行为分析器","authors":"Kuei-Chung Chang, Chia-Yang Kao, Yi-Shin Chen, Guang-Yu Chen","doi":"10.1109/GCCE.2014.7031343","DOIUrl":null,"url":null,"abstract":"In recent years, the embedded devices are very popular, and the smart phone and Tablet PC are the most important consumer electronic products. When programmers design a program on PC, there are a lot of resources can be used to enhance the performance of the program. But the resources on embedded devices are limited. Thus, how to profile and optimize the programs on embedded system becomes an important design issue. In this paper, we design a profiling tool to analyze the memory behaviors of an Android application on the multi-core smartphone. The designer can improve application performance according to the profiled results. The experimental results show that the proposed tool can analyze the memory status of the profiled application.","PeriodicalId":145771,"journal":{"name":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Memory behavior profiler for Android applications\",\"authors\":\"Kuei-Chung Chang, Chia-Yang Kao, Yi-Shin Chen, Guang-Yu Chen\",\"doi\":\"10.1109/GCCE.2014.7031343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, the embedded devices are very popular, and the smart phone and Tablet PC are the most important consumer electronic products. When programmers design a program on PC, there are a lot of resources can be used to enhance the performance of the program. But the resources on embedded devices are limited. Thus, how to profile and optimize the programs on embedded system becomes an important design issue. In this paper, we design a profiling tool to analyze the memory behaviors of an Android application on the multi-core smartphone. The designer can improve application performance according to the profiled results. The experimental results show that the proposed tool can analyze the memory status of the profiled application.\",\"PeriodicalId\":145771,\"journal\":{\"name\":\"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2014.7031343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2014.7031343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In recent years, the embedded devices are very popular, and the smart phone and Tablet PC are the most important consumer electronic products. When programmers design a program on PC, there are a lot of resources can be used to enhance the performance of the program. But the resources on embedded devices are limited. Thus, how to profile and optimize the programs on embedded system becomes an important design issue. In this paper, we design a profiling tool to analyze the memory behaviors of an Android application on the multi-core smartphone. The designer can improve application performance according to the profiled results. The experimental results show that the proposed tool can analyze the memory status of the profiled application.
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