Chapter 2. Architecture 37
At the core of the IBM TotalStorage Multiple Device Manager architecture is the
concept of using CIM and WBEM (Web-Based Enterprise Management) as the
tools to access all device level functionality. This means that IBM TotalStorage
Multiple Device Manager in general does not require the Director Agent
component to be installed on the supported storage devices, but does require
that the device is CIM enabled and SMI-S compliant, that is, that there is an IBM
ICAT or equivalent software installed to support the device.
The IBM TotalStorage Multiple Device Manager components use CIM requests
to communicate with the devices whenever possible, although in some cases it
may be required that a manager access a device directly (using a device-specific
API). This will be avoided whenever possible, and should only come into play if a
CIM interface for a particular function is not available or does not provide
adequate performance for the task to be performed.
IBM Tivoli SAN Manager integration
IBM TotalStorage Multiple Device Manager is designed to leverage an existing
IBM Tivoli SAN Manager application installed on the SAN (other SAN Managers
may be supported in future IBM TotalStorage Multiple Device Manager
releases). IBM Tivoli SAN Manager delivers a callable API by which the IBM
TotalStorage Multiple Device Manager code running in the Director Server can
access the IBM Tivoli SAN Manager functionality to extend the Director's
discovery mechanism to include switches, ports, hosts, and zones, for example,
on the SAN. The Device Manager (DM) can also provide SAN management
capabilities such as zone creation and modification, as supported by the SAN
Management API.
2.6 Integration with other Tivoli products
This section describes how each component of IBM TotalStorage Productivity
Center interfaces with other IBM Tivoli Software products. The two products we
focus on are IBM Tivoli Data Warehouse, used to collect and analyze trend data;
and IBM Tivoli Enterprise Console, used to receive, analyze, and correlate
enterprise events, taking corrective actions.
38 Exploring Storage Management Efficiencies and Provisioning
2.6.1 IBM Tivoli Data Warehouse integration
With Tivoli Data Warehouse, you can analyze historical trends from various Tivoli
and customer applications. The Tivoli Data Warehouse infrastructure enables a
set of extract, transform, and load (ETL) utilities to extract and move data from
Tivoli application data stores to a central repository. The open architecture of
Tivoli Data Warehouse also enables data from non-Tivoli applications to be
integrated into its central repository. Data from the central repository can be
extracted into
data marts that pertain to the reporting needs of selected groups.
data marts can also be used to produce cross application reports.
Tivoli Data Warehouse is a repository for all historical systems management data
and the basis for all Tivoli reporting solutions. Tivoli Data Warehouse (TDW) acts
as the central data store where historical data from all management applications
is aggregated and correlated for use by:
򐂰 High-value predictive management applications such as the new IBM Tivoli
Service Level Advisor
򐂰 Reporting and third-party OLAP tools including offerings from the IBM DB2
family, Brio, Business Objects, Crystal, and Cognos
򐂰 All Tivoli products
Chapter 2. Architecture 39
Figure 2-11 shows a sample Tivoli Data Warehouse report generated from IBM
Tivoli SAN Manager data.
Figure 2-11 Tivoli Data Warehouse sample report
This technology provides a powerful open repository that simplifies data
consolidation and centralization from both similar and disparate applications for
both Tivoli brand and non-Tivoli applications. This technology enables consistent
reporting methods, as well as a common look and feel, from across the entire
enterprise. In addition, Tivoli Data Warehouse provides the foundation for
applications that analyze historical data, allowing you to identify customer trends,
predict new business needs, support line of business (LOB) planning or perform
other valuable predictive management tasks.
40 Exploring Storage Management Efficiencies and Provisioning
Historical reports from Tivoli Data Warehouse consist of a centralized data store
where historical data from many management applications can be stored,
aggregated, and correlated.
The following graphic, Figure 2-12, demonstrates a high level data flow of the
process of moving data from its source, the management application, into the
data repository, and finally into the useful reports.
Figure 2-12 IBM Tivoli Data Warehouse data flow
IETLs from
warehouse packs
IBM Tivoli
Service level
System management data from Tivoli and custom
sources on Windows, Linux, UNIX, and z/OS systems
Central data warehouses
ETLs from
warehouse packs
Data marts

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