Data Space architecture highlights
Data Space architecture includes the following concepts:
▪Data Spaces are simplifications of real volumes. They represent a group of homogenous volumes that have the same configuration.
▪You can imagine a Data Space as a group of volumes that belong to the same application, have the same attributes, and share the same workload.
▪How Data Spaces relate to pools:
– A Data Space is assigned to a specific pool.
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Note: You can configure identical Data Spaces for a pair of pools simultaneously by using the
Balanced pools option. See
“Example: Adding a Data Space to pools”.
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– Multiple Data Spaces can be defined for each pool.
– Currently, only one Data Space of a pool can be assigned to a workload. Developers are preparing several
components that will allow Storage Modeller to overcome this limitation.
▪Each Data Space carries key characteristics, such as the following attributes:
– Volume Type (Open Systems, IBM i, or IBM Z)
– Allocation Type (Fully Allocated, or Data Reduced)
– Data Reduction percentages for the data contained in the volumes
– Replication specs (None, Metro-Mirror, Global-Mirror)
– Provisioned capacity, number of volumes, etc.
Figure 111 Internal characteristics of a storage pool, all of which can be accounted for in Data Spaces
The following topics describe concepts and the user interface for Data Spaces.