关系型数据库系统环境下软件老化的比较分析

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Herderson Couto;Fumio Machida;Gustavo Callou;Ermeson Andrade
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引用次数: 0

摘要

长时间连续运行的计算机系统容易受到软件老化现象的影响。这种现象可能导致计算资源的逐渐耗尽,并有可能导致这些系统的性能下降。在受影响的系统中,数据库管理系统(dbms)尤为重要。dbms中软件老化的后果可能导致数据丢失、数据库完整性受损、事务失败以及对系统可用性的负面影响。本文分析和比较了使用SQL Server和MySQL数据库管理系统的系统中软件老化的影响。通过对内存消耗和响应时间退化的统计分析,可以证实这种现象的存在。进程级分析确定了对内存消耗贡献最大的数据库和服务器进程。此外,我们开发了机器学习模型来预测不同工作负载下SQL Server和MySQL环境中的内存耗尽情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
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.
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