Data Affinity
Data Affinity reduces network traffic between hosts in the cluster and allows for more flexible scaling of data-intensive applications with improved performance. The Data Affinity add-on product contains the Data-aware Scheduling feature.
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Data-aware scheduling allows Platform Symphony to intelligently schedule application tasks and improve performance by taking into account data location when dispatching the tasks. By directing tasks to resources that already contain the required data, application runtimes can be significantly reduced. As well, this feature can help to meet the challenges of latency requirements for real time applications.
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Multi-core Optimizer
The Multi-core Optimizer reduces capital and operating expenses by improving utilization of resources in mixed environments. It can also reduce I/O and memory contention in multi-core environments. Dynamic Service and Common Data Optimizer are two features of the multi-core optimizer add-on product.
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The Dynamic Service feature allows dynamic control of service-to-slot mapping to optimize core, memory, and I/O use. This enables efficient running of workload made up of multi-threaded, single-threaded, I/O-intensive, and compute-intensive tasks from a single application and/or a mix of applications in a multi-core/heterogeneous environment.
The Common Data Optimizer feature optimizes the distribution of common data and common data updates so that only one copy of the data is sent to each multi-core host serving the same session. The single copy of common data is shared between all SIMs and SIs associated with the same session on the same host. Refer to the Cluster and Application Management Guide for details.
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