Quality of Service Management in Software

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Quality of Service Management
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Oracle 11g Release 2 introduced one feature that can have a significant impact on using the Oracle Database for OLTP workloads The feature is an expansion of the capabilities of Real Application Clusters to allow for dynamic reprovisioning of CPU resources in order to meet service levels a method that will help you to guarantee quality of service (QoS) for a RACbased database
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QoS is based on a few core concepts used for managing servers in a RAC environment The first concept is that of a server pool A server pool is a group of servers that are, in effect, partitioned to separate them from other server pools A RAC installation has a default server pool, the free pool,
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and a generic pool, as well as any number of additional pools, which you can define Each server pool has a minimum number of servers, a maximum number of servers, and an importance RAC allocates servers to the server pools until all pools have the minimum number of servers Once this level is reached, RAC allocates any additional servers for a pool, up to the maximum number, based on the importance of the pool Any servers left once these levels are reached remain in the free pool In the event of a server failure, QoS first determines if the failure results in the number of servers in a server pool dipping below the minimum specified If the failure does not have this effect, no action is taken If the number of servers in a pool does go below the specified minimum, QoS first looks to the free pool for a replacement server If no servers are available in the free pool, QoS looks to server pools with a lower importance for replacement servers
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The concept of a RAC-based service was described in 2 QoS management adds the concept of a performance class A performance class consists of one or more services that share a performance objective These performance objectives are used to evaluate the quality of service being provided by the managed RAC environment For instance, you could group a variety of sales applications as one performance class, with maintenance and batch operations grouped together in another performance class
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Performance classes and server pools come together in a policy A policy associates the available server pools with performance classes, as shown in Figure 8-2 Figure 8-2 shows more than one policy, based on the time of day and within a quarter You can have multiple policies, but only one policy can be in place at any one time on any one server A collection of policies is known as a policy set A policy also includes a performance metric associated with a particular performance class In Figure 8-2, you could require that an application in the online server pool deliver an average response time of two seconds
Achieving Extreme Performance with Oracle Exadata
Business Hours Policy
Online SP
Back Office SP After Hours Policy
Batch SP
Online SP
Back Office SP End Of Quarter Policy
Batch SP
Online SP
Back Office SP
Batch SP
FIGURE 8-2
Policies
during normal business operations, but that this requirement is relaxed to four seconds in the after-hours policy or three seconds during the crunch in the end-of-the-quarter server policy A policy also contains server pool directive overrides These overrides prescribe the action that should be taken in the event that a performance objective is not met For instance, you could specify that the minimum number of servers be increased if a performance objective was not being achieved A policy can contain more than one performance class, so the performance classes can be ranked in importance The ranking is used to determine which performance objectives should be satisfied in the event that the RAC database does not have sufficient resources available to meet all performance objectives In this scenario, the higher-ranking performance class receives resources ahead of lower-ranking performance classes
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