Capacity Data Models
Essay by neel231 • March 10, 2013 • Case Study • 1,811 Words (8 Pages) • 1,501 Views
OnCommand Insight data model descriptions
OnCommand Insight includes several data models from which you can select predefined reports or
create your own custom report.
Capacity data models
Enable you to answer questions about storage capacity, file system utilization,
internal volume capacity, port capacity, qtree capacity, and VM capacity. The
Capacity data model is a container for several capacity data models.
Storage and Storage Pool Capacity data model
Enables you to answer questions about storage capacity
resource planning including storage and storage pools, and
includes both physical and virtual storage pool data. This
simple data model can help you answer questions related to
capacity on the floor and capacity usage of storage pools by
tier and data center over time.
If you are new to capacity reporting, you should start with
this data model, because it is a simpler, targeted data model.
File System Utilization data model
Enables you to answer questions about file system utilization.
This data model provides visibility into capacity utilization
by hosts on the file system level. Administrators can
determine allocated and used capacity per file system,
determine the type of file system, and identify trending
statistics by file system type.
Internal Volume Capacity data model
Enables you to answer questions about internal volume used
capacity, allocated capacity, and capacity usage over time.
Port Capacity data model
Enables you to answer questions about switch port
connectivity, port status, and speed over time. This data can
be used when planning for purchases of new SAN switches.
Qtree Capacity data model
Enables you to trend qtree utilization (with data such as used
versus allocated capacity) over time. You can also see the
information by different dimensions, for example, by
business entity, application, tier, and service level.
Storage Capacity data model
Enables you to report changes in capacity usage in storage
resources (such as arrays, hosts, business entities,
applications, tiers, service levels, and data centers) over time.
The Storage Capacity data model provides both current and
historical data. You can use this comprehensive data model to
identify storage capacity planning trends.
This data model provides classification of storage capacity
into different categories such as unused capacity, orphaned
capacity, and disaster recovery (DR) capacity. The Storage
Capacity data model includes usable, raw, provisioned and
physical capacity.
To report on the most commonly asked storage capacity
questions, consider using the Storage and Storage Pool
Capacity data model data model instead, because it is a
simpler, targeted data model.
VM Capacity data model
Enables you to report your virtual machine environment and
its capacity usage. This data model lets you report on changes
in capacity usage over time for virtual machines and data
stores. The data model also provides thin provisioning and
virtual machine chargeback data.
Volume Capacity data model
Enables you to analyze all aspects of volumes in your
environment and look at them by vendor, model, tier, service
level, and data center. You can view capacity related to
orphan volumes, unused volumes, and protection volumes
(used for replication). You can also see different volume
technology (iSCSI or FC) and compare virtual to non-virtual
volumes for array virtualization issues.
Draft Comment: New for 6.4
Chargeback data model
Enables you to answer questions about used capacity and allocated capacity on
storage resources (volumes, internal volumes, and qtrees). This data model
provides storage capacity chargeback and accountability information by hosts,
application, and business entities and includes both current and historical data.
Report data can be categorized by service level and storage tier.
You can use this data model to generate chargeback reports by finding the
amount of capacity used by a business entity. This data model provides the
ability to create unified reporting of multiple protocols (including NAS, SAN,
FC, and iSCSI).
Inventory data model
Enables
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