Administration increasingly dominates the total cost of ownership of database management systems. A key task, and a very dif\ufb01cult one for an administrator, is to justify upgrades of CPU, memory and storage resources with quantitative predictions of the expected improvement in workload performance. We present a design and prototype implementation of a Resource Advisor that is able to answer \u201cwhatif\u201d questions about DBMS performance under hypothetical conditions. We discuss the design issues and challenges involved in building such a Resource Advisor, as well as our experiences in building a prototype Resource Advisor for SQL Server.<\/p>\n","protected":false},"excerpt":{"rendered":"
Administration increasingly dominates the total cost of ownership of database management systems. A key task, and a very dif\ufb01cult one for an administrator, is to justify upgrades of CPU, memory and storage resources with quantitative predictions of the expected improvement in workload performance. 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