{"title":"Boot time optimization for Android-based embedded systems","authors":"Ercüment Türk, Sadik Arslan","doi":"10.1109/UBMK.2017.8093416","DOIUrl":null,"url":null,"abstract":"Android is an open source operating system which is becoming increasingly popular in embedded systems that are used both in consumer electronics and industrial environments. In order to be able to respond to both user and manufacturer requests, Android have a very flexible and complex structure. This is especially the cause of the prolongation of the boot time. In general, an Android device takes about 40 seconds to boot. This work is seeking a solution to the need for optimization of the previously developed Android-based embedded system boot-up time. As a result, 48% efficiency was achieved with the applied method and the boot time decreased to 19 seconds.","PeriodicalId":201903,"journal":{"name":"2017 International Conference on Computer Science and Engineering (UBMK)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computer Science and Engineering (UBMK)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UBMK.2017.8093416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Android is an open source operating system which is becoming increasingly popular in embedded systems that are used both in consumer electronics and industrial environments. In order to be able to respond to both user and manufacturer requests, Android have a very flexible and complex structure. This is especially the cause of the prolongation of the boot time. In general, an Android device takes about 40 seconds to boot. This work is seeking a solution to the need for optimization of the previously developed Android-based embedded system boot-up time. As a result, 48% efficiency was achieved with the applied method and the boot time decreased to 19 seconds.