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The concept of services gives you the ability to assign operations to a specific set of nodes within a RAC database With Oracle Database 11 g Release 2 came the introduction of server pools and quality of service measurements, which take this concept even further Services used to be assigned to specific nodes, which was a good way to divide up resources, but this approach required services to be explicitly assigned to one or more instances, which could create an increasing management overhead as the number of configuration options multiplied A server pool is a collection of nodes, and services are assigned to a pool rather than a set of specific nodes RAC uses server pools to allocate resources between different services assigned to a pool You can define a quality of service policy, described in more detail in 8, which specifies the performance objectives for an individual service, as well as the priority of that service If a high-priority service is not getting sufficient CPU to deliver the defined quality of service, RAC makes a recommendation to promote the scheduling priority for that service with the CPU scheduler This remedy will improve the performance of the promoted service, which very well may not affect the qualities for the other services in the pool If multiple services for a pool are all failing to meet their quality-ofservice goals, the server pool can implement a different scenario to share resources, using Database Resource Manager (described later) or grab a node from another pool to remedy the problem, although the transfer of this node may take some time, depending on the specific implementation scenario

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This chapter has outlined some of the strategies you can use when using the Oracle Exadata Database Machine as a platform for consolidation These are approaches which will give you some good information on which to base your plan But nothing substitutes for testing how multiple applications will interact on the target platform You can perform testing pro-actively by using a tool like Real Application Testing, which can capture actual workloads on one machine and replay then on another You could use other load testing tools, or run systems in parallel during initial deployment Any of these tactics will give you a better chance of success than simply trying a bunch of applications together and hoping it works especially since the competition for resources between potentially conflicting applications can be extraordinarily complex in the real world For many people, the best way to implement consolidation is to start with the largest or most crucial application running alone on a Database Machine, and then migrating other applications to the platform, using tools like IORM and instance caging to allocate resources where appropriate

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