1.Data Class—data definition parameters.

2.Storage Class—performance and accessibility requirements.

3.Management Class—migration, backup and retention attributes.

4.Storage Group—candidate allocation volumes.

Because data set allocations, whether dynamic or through JCL, are processed through ACS routines, installation standards can be enforced on those allocations on both SMS and non-SMS managed volumes. ACS routines permit user defined specifications for Data, Storage, and Management Classes, and requests for specific volumes, to be overridden, thereby offering more control of where data sets are positioned within the system.

For a data set to qualify for SMS management, it must satisfy the Storage Class component. If a valid Storage class is assigned, then the data set is managed by SMS, and proceeds via the Management Class and Storage Group routines before being allocated on a SMS volume. If a null Storage class is assigned, the data set exits from the process, is not managed by SMS, and is allocated on a non-SMS volume.

Figure 12 on page 37 shows the execution process for defining data sets in an MVS system (with SMS active).

 

ACS Routine Process

 

New Allocation

 

 

Data Class

 

 

 

Non-SMS

 

 

Managed

Conversion

Storage Class

SC=NULL

Procedure

 

 

(DFSMSdss/hsm)

 

 

 

SC=&STORCLAS

 

Management

 

 

Class

 

 

 

SMS

 

 

Managed

 

Storage

 

 

Group

 

Figure 12. ACS Routine Execution Process

Storage Management with DFSMS 37

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Image 59
IBM 5695-DF1, 5655-DB2 manual ACS Routine Process

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.