Domenico Cotroneo, L. Simone, R. Natella, R. Pietrantuono, S. Russo
{"title":"A Configurable Software Aging Detection and Rejuvenation Agent for Android","authors":"Domenico Cotroneo, L. Simone, R. Natella, R. Pietrantuono, S. Russo","doi":"10.1109/ISSREW.2019.00078","DOIUrl":null,"url":null,"abstract":"This paper presents the design of ADaRTA, an aging detection and rejuvenation tool for Android. The tool is a software agent which i) performs selective monitoring of system processes and of trends in system performance indicators; ii) detects the aging state and estimates the time-to-aging-failure, through heuristic rules; iii) schedules and applies rejuvenation, based on the estimated time-to-aging-failure. The agent rules and parameters have been defined for ease of configuration and tuning by device designers. A stress testing experiment is discussed, showing ADaRTA's configurability for the device under test, and the ability of detecting the aging state to prevent device enter a failure state.","PeriodicalId":166239,"journal":{"name":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW.2019.00078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper presents the design of ADaRTA, an aging detection and rejuvenation tool for Android. The tool is a software agent which i) performs selective monitoring of system processes and of trends in system performance indicators; ii) detects the aging state and estimates the time-to-aging-failure, through heuristic rules; iii) schedules and applies rejuvenation, based on the estimated time-to-aging-failure. The agent rules and parameters have been defined for ease of configuration and tuning by device designers. A stress testing experiment is discussed, showing ADaRTA's configurability for the device under test, and the ability of detecting the aging state to prevent device enter a failure state.