•AVG CONN TIME, connect time mainly for data transfer. To estimate path percentage utilization demand, calculate:

AVG CONN TIME * DEVICE ACTIVITY RATE/1000)*100

•As an example, an average connect of 4.5 ms with 1200 I/O/sec gives 540%, which means a minimum of six paths is required for this workload level. Checking the channel path activity reports for the different LPARS sharing this LCU enables you to determine the balance of the activity demand (540%) over the current defined path configuration. Intermediate consolidations may be required in complex configurations.

•% DEV UTIL, percentage of device utilization shows the percentage of times RMF has found this device busy. This is a good indicator of demand contention on this volume.

I/O Queuing Activity Report

The I/O Queuing Activity report (see Figure 51 on page 131) is used to analyze the pathing behavior. To get this report, specify:

REPORTS (IOQ)

Use only two fields, LCU and CHAN PATHS, which list the physical paths to review later in the channel path activity report.

Channel Path Activity Repor t

The Channel Path Activity report ( Figure 52 on page 132) identifies performance contentions associated with the channel paths. To produce this report, specify:

REPORTS (CHAN)

Review the following fields:

•CHANNEL ID is the hexadecimal number of the channel path identifier (CHPID).

•PATH SHR; a value of Y indicates that the ESCON channel link (physical channel) is shared between one or more LPARs.

•PARTITION UTILIZATION (%) is the percentage of physical channel path utilization by the LPAR.

•TOTAL UTILIZATION (%) is the percentage of physical channel path utilization that all LPARS of this CPC use. This is the aggregate view of channel utilization.

130Storage Management with DB2 for OS/390

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IBM 5655-DB2, 5695-DF1 AVG Conn Time * Device Activity RATE/1000*100, Queuing Activity Report, Reports IOQ, Reports Chan
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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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