Electing DB2 to select the volume requires assigning a Storage Class with guaranteed space. However, guaranteed space reduces the benefits of SMS allocation, so this approach is not recommended.

If you do choose to use specific volume assignments, additional manual space management must be performed . Unlike non-SMS, SMS does not retry to skip a volume that cannot satisfy the requested space. Free space must be managed for each individual volume to prevent failures during the initial allocation and extension. This will generally require more time for space management, and will result in more space shortages. Guaranteed space should only be used where the space needs are relatively small and do not change.

To identify and reference a particular Storage Group, a unique one to eight character name is used, for example, SGDBFAST.

Table 11 provides a list of attributes for consideration.

Table 11. Storage Group Attributes

ATTRIBUTE

COMMENT

 

 

Auto Migrate

Specifies whether migration should be permitted on

 

this Storage Group.

 

 

Auto Backup

Specifies whether backup should be performed on

 

this Storage Group.

 

 

Auto Dump

Specifies whether full volume dumping should be

 

performed on this Storage Group.

 

 

Migration Threshold

A percentage figure which when exceeded forces

(High and low)

migration to occur. Likewise, a percentage figure, at

 

which migration stops.

 

 

Dump Classes

Specifies the frequency of auto dumping, if required.

 

 

Guaranteed Backup Frequency

Specifies the maximum number of days that can

 

elapse between backups. NOLIMIT indicates data

 

sets in the Storage Group are backed up according

 

to their Management Class.

 

 

For further information on all SMS Class attributes and definitions, see

DFSMS/MVS DFSMSdfp Storage Administration Reference, SC26-4920.

5.3.4.3 Mapping Devices to Storage Groups for Performance

From the performance point of view, migrating to SMS offers the opportunity to automatically set DB2 allocations to predefined disk areas. Each storage server offers a predetermined level of parallel access. For example, the RVA Turbo allows eight concurrent data transfers to and from the host. DB2 administrators and storage administrators can distribute the Storage Groups to maximize the use of parallel capability offered by each storage server type. For example, with RVA servers, a Storage Group should have a multiple of eight volumes per RVA and be spread over several RVAs. A performance oriented small Storage Group could have just eight volumes defined per RVA (in groups of two by LCU, and by RVA) and spread over the number of RVAs required for best parallel access.

SMS offers a performance oriented automated allocation mechanism provided that a defined Storage Group logical topology matches the current installed

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IBM 5695-DF1, 5655-DB2 manual Mapping Devices to Storage Groups for Performance
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5695-DF1, 5655-DB2 specifications

IBM 5655-DB2 and 5695-DF1 are significant components within the IBM software ecosystem, predominantly focusing on data management and integration solutions. These offerings cater primarily to enterprise environments that require robust database management systems and associated frameworks to maintain and manipulate data efficiently.

IBM 5655-DB2 is a well-known relational database management system (RDBMS) that excels in managing large volumes of structured data. Its architecture is designed to support high availability, scalability, and performance, crucial for businesses operating in today’s data-driven world. Some of its main features include advanced indexing capabilities, support for complex queries, and dynamic workload management. Additionally, it provides strong concurrency controls, which enable multiple users to access and manipulate data simultaneously without compromising data integrity.

One of the key characteristics of DB2 is its support for various data types, including JSON and XML, making it versatile for modern applications that generate data in diverse formats. It also features robust security mechanisms to protect sensitive data, aligning with compliance standards across industries. Integration with analytics tools further allows businesses to derive insights from their data, enhancing decision-making processes.

On the other hand, IBM 5695-DF1, also known as the InfoSphere DataStage, is a powerful data integration tool that facilitates the extraction, transformation, and loading (ETL) of data from various sources to target systems. It empowers organizations to streamline their data flows, ensuring that clean, consistent information is available for analysis and operational use. Key features of 5695-DF1 include a user-friendly graphical interface that enhances developer productivity and a rich set of connectors for numerous data sources, enabling seamless data integration.

DataStage also supports real-time data integration, allowing businesses to keep their data synchronized across multiple platforms. Its parallel processing capabilities dedicatedly optimize performance, enabling organizations to handle vast datasets efficiently. It incorporates data quality tools that help in validating and cleansing data before it is used for decision-making processes.

Both IBM 5655-DB2 and 5695-DF1 are part of a broader strategy to accommodate the evolving landscape of data management. Businesses leverage these technologies to enhance their data architectures, fostering agility and competitive advantage in their respective markets. Their integration capabilities, along with a focus on security and scalability, position them as vital assets in modern enterprise environments. Whether managing critical data within a database or ensuring seamless data flow across systems, these IBM offerings provide a comprehensive approach to handling complex data challenges.
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