Abstract
I/O Resource Management (IORM) provides a means to govern I/O from different workloads in the Exadata Database Machine. Database consolidation is a key driver to customer adoption of Exadata, and consolidation means that multiple databases and applications will typically share Exadata storage. Different databases in a shared storage grid typically have different I/O performance requirements, and one of the common challenges with shared storage infrastructures, in general, is that of competing I/O workloads. Non-Exadata Oracle environments historically have attempted to address this challenge by over-provisioning storage, but this can become expensive and yield performance behavior that it is difficult to measure and predict.
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© 2013 John Clarke
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Clarke, J. (2013). I/O Resource Management and Instance Caging. In: Oracle Exadata Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-4915-3_17
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DOI: https://doi.org/10.1007/978-1-4302-4915-3_17
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4302-4914-6
Online ISBN: 978-1-4302-4915-3
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