When you use a storage system, you can consolidate data and workloads from different types of independent hosts into a single shared resource.
You can mix production and test servers in an open systems environment or mix open systems and IBM® Z hosts. In this type of environment, servers rarely, if ever, contend for the same resource.
Although sharing resources in the storage system has advantages for storage administration and resource sharing, there are more implications for workload planning. The benefit of sharing is that a larger resource pool (for example, drives or cache) is available for critical applications. However, you must ensure that uncontrolled or unpredictable applications do not interfere with critical work. This requires the same workload planning that you use when you mix various types of work on a server.
- On separate RAID drive groups. Data for open systems or IBM Z hosts is automatically placed on separate arrays, which reduce the contention for drive use.
- On separate device adapters.
- In separate processor nodes, which isolate use of memory buses, microprocessors, and cache resources. Before you decide, verify that the isolation of your data to a single node provides adequate data access performance for your application.