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. We present a design and prototype implementation of a Resource Advisor that […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"dnarayan"},{"type":"user_nicename","value":"etheres"},{"type":"text","value":"Anastassia Ailamaki"}],"msr_publishername":"IEEE","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"IEEE Data Eng. 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