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Capacity Data Models

Essay by   •  March 10, 2013  •  Case Study  •  1,811 Words (8 Pages)  •  1,346 Views

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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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