Attributes
Tivoli® Enterprise Portal gathers data from remote agents located within your systems. The portal stores this data for IBM Z OMEGAMON AI for Storage in elements called attributes. You can use these attributes to build situations to monitor the performance of the managed systems you are concerned with.
Attributes correspond to the column names contained on the table views in associated IBM Z OMEGAMON AI for Storage workspaces. Related attributes are grouped into attribute groups. A given table view contains information provided by a single attribute group.
- An attribute is made up of an attribute group and an attribute item.
- An attribute group associates attributes that refer to some unique characteristic of the data that is being stored.
- An attribute item stores data for a particular property of an attribute group.
For example, in the attribute TOTALSTORAGE_RANKS.Total_Bytes_Read
- Total Bytes Read is an attribute item that stores a value representing the total number of bytes read from the rank over the interval in the following attribute group.
You use attributes to create situations that monitor the state of your storage environment. A situation describes a condition you want to test. When you start a situation, the monitoring server compares the values that you have assigned for the situation's attributes with the values collected by IBM Z OMEGAMON AI for Storage and registers a situation event if the condition is met. You are alerted to situation events by indicator icons that appear in the Navigator.
Each attribute is a characteristic of an object. For example, the All Channels Busy Percent attribute in the Logical Control Unit attribute group displays the percentage of the time that all channel paths to an LCU were busy.
- Attribute groups
- The IBM Z OMEGAMON AI for Storage
attributes are organized into groups of related items. These groups of attributes comprise the
attribute tables for the product.Note: In the Tivoli Enterprise Portal, the names of attribute groups are preceded by
S3,
which is the product code for IBM Z OMEGAMON AI for Storage. - Attributes and workspaces
- You can view the data reported for the attribute in the reports and charts displayed in the IBM Z OMEGAMON AI for Storage workspaces. The workspaces contain the table views you use to obtain information about the various aspects of your environment. The table views and graphs within each workspace report the storage attribute information you are monitoring. You can use the collected data to analyze and monitor performance.
- Attributes and situations
- Attributes are used in the predefined situations for the product. You can also create custom situations for to monitor the performance of your z/OS® systems. These situations can monitor one aspect of your enterprise or analyze multiple conditions to alert you to problems that can occur when attribute values exceed their thresholds.
List of attribute groups and attributes
The following attribute groups are provided with the IBM Z OMEGAMON AI for Storage product:
Dataset Attributes CA Split Summary
Dataset Attributes Catalog Summary
Dataset Attributes CI Split Summary
Dataset Attributes Creation Date Summary
Dataset Attributes Defs
Dataset Attributes Dataset Detail
Dataset Attributes DSORG Detail
Dataset Attributes DSORG Summary
Dataset Attributes Extent Summary
Dataset Attributes High Level Qualifier Summary
Dataset Attributes Inefficient Blocksize Summary
Dataset Attributes Mature Dataset Summary
Dataset Attributes Never Referenced Dataset Summary
Dataset Attributes Newborn Dataset Summary
Dataset Attributes Reference Date Summary
Dataset Attributes SMS Class Detail
Dataset Attributes SMS Class Summary
Dataset Attributes Space Allocated Summary
Dataset Attributes Space Unused Summary
Dataset Attributes System Summary
Dataset Attributes Uncataloged Detail
Dataset Attributes Uncataloged Summary
DSN Attr Group Detail
DSN Attr Group Summary
Dataset Group Defs
Dataset Group Details
Dataset Group Detail Attrs
Dataset Group Details Volume
Dataset Group Summary
Dataset Performance
Dataset SMS
Dataset Space
Dataset Users
FICON Director Control Units
FICON Director Ports
FICON Director Summary
S3 App Defs
S3 Dag Defs
S3 DASD Defs
S3 Group Defs
S3 Storage Group Configuration
S3 Volume Event
S3 Volume Model
Hitachi Data Systems 2107 Configuration
Hitachi Data Systems 2107 Parity Group
HSM CDS
HSM Common Storage
HSM Cross System CRQ Hosts
HSM Cross System CRQplex
HSM CRQ Hosts
HSM CRQ Requests
HSM CRQplex
HSM Dataset Recover Version
HSM Function Details
HSM Function Statistics
HSM Function Summary
HSM Host Function Status
HSM Host Request Summary
HSM Host Status
HSM Private Storage
HSM Requests
HSM Status
RLS Buffer LSU Summary
RLS Buffer Pool Detail
RLS Collection Interval
RLS Dataset Details
Dataset Collection Interval
RLS Dataset Group Details
RLS Dataset Group Summary
RLS Lock Structure
RLS Lock Structure CF Detail
RLS Performance Overview
RLS Storage Class
RMM Configuration
RMM Control
RMM Control Dataset
RMM Dataset Details
RMM Location Details
RMM Owner Details
RMM Pending Actions
RMM System Summary
RMM Volume Details
RMM VRS Details
VTS Capacity
VTS Composite Library
VTS Overview
VTS Physical Devices
VTS TS7700-series Cache Container
VTS TS7700-series Cache Partition Container
VTS TS7700-series Cache Preference Group
VTS TS7700-series Cluster
VTS TS7700-series Cluster Replication
VTS Virtual Devices
VTS Virtual Devices Summary
VTSS Channels
VTSS Configuration
VTSS RTD Queue
VTSS RTD Status
VTSS Status
VTSS Virtual Volumes