{"title":"关系型数据库系统环境下软件老化的比较分析","authors":"Herderson Couto;Fumio Machida;Gustavo Callou;Ermeson Andrade","doi":"10.1109/TETC.2024.3471684","DOIUrl":null,"url":null,"abstract":"Computer systems that operate continuously over extended periods of time can be susceptible to a phenomenon known as software aging. This phenomenon can result in the gradual depletion of computational resources and has the potential to cause performance degradation in these systems. Among the systems affected, Database Management Systems (DBMSs) are particularly crucial. The consequences of software aging in DBMSs can result in data loss, compromised database integrity, transaction failures, and negative effects on system availability. This work analyzes and compares the effects of software aging in systems using SQL Server and MySQL DBMSs. The presence of this phenomenon is confirmed through statistical analysis of memory consumption and response time degradation. Process-level analysis identified database and server processes contributing most to memory consumption. Additionally, we developed machine learning models to predict memory exhaustion in both SQL Server and MySQL environments across diverse workloads.","PeriodicalId":13156,"journal":{"name":"IEEE Transactions on Emerging Topics in Computing","volume":"13 2","pages":"370-381"},"PeriodicalIF":5.4000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comparative Analysis of Software Aging in Relational Database System Environments\",\"authors\":\"Herderson Couto;Fumio Machida;Gustavo Callou;Ermeson Andrade\",\"doi\":\"10.1109/TETC.2024.3471684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computer systems that operate continuously over extended periods of time can be susceptible to a phenomenon known as software aging. This phenomenon can result in the gradual depletion of computational resources and has the potential to cause performance degradation in these systems. Among the systems affected, Database Management Systems (DBMSs) are particularly crucial. The consequences of software aging in DBMSs can result in data loss, compromised database integrity, transaction failures, and negative effects on system availability. This work analyzes and compares the effects of software aging in systems using SQL Server and MySQL DBMSs. The presence of this phenomenon is confirmed through statistical analysis of memory consumption and response time degradation. Process-level analysis identified database and server processes contributing most to memory consumption. Additionally, we developed machine learning models to predict memory exhaustion in both SQL Server and MySQL environments across diverse workloads.\",\"PeriodicalId\":13156,\"journal\":{\"name\":\"IEEE Transactions on Emerging Topics in Computing\",\"volume\":\"13 2\",\"pages\":\"370-381\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Emerging Topics in Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10706771/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Emerging Topics in Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10706771/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
A Comparative Analysis of Software Aging in Relational Database System Environments
Computer systems that operate continuously over extended periods of time can be susceptible to a phenomenon known as software aging. This phenomenon can result in the gradual depletion of computational resources and has the potential to cause performance degradation in these systems. Among the systems affected, Database Management Systems (DBMSs) are particularly crucial. The consequences of software aging in DBMSs can result in data loss, compromised database integrity, transaction failures, and negative effects on system availability. This work analyzes and compares the effects of software aging in systems using SQL Server and MySQL DBMSs. The presence of this phenomenon is confirmed through statistical analysis of memory consumption and response time degradation. Process-level analysis identified database and server processes contributing most to memory consumption. Additionally, we developed machine learning models to predict memory exhaustion in both SQL Server and MySQL environments across diverse workloads.
期刊介绍:
IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.