XSA/REPORTER

 

 

SPACE UTILIZATION SUMMARY REPORT

 

 

17FEB1999

16:47:05

SUBSYSTEM 20395

 

(NUMBER OF FUNCTIONAL DEVICES: 256)

 

 

 

 

 

 

SELECTED DEVICES SUMMARY

 

FUNCTIONAL CAPACITY (MB)

% FUNCT CAPACITY

--------

DISK ARRAY

--------

 

SELECTED

TOTAL FUNCTIONAL

 

NOT

 

NOT

-- PHYSICAL CAP USED (MB) --

COMP

 

DEVICES

CAPACITY (MB)

STORED

STORED

STORED STORED

SHARED

UNIQUE

TOTAL

RATIO

--------

-------------

--------- ---------

------ ------

--------

--------

--------

-----

PRODUCTION PARTITION:

256

726532.2

204036.4

522495.8

28.1

71.9

0.0

65964.1

65964.1

3.1

TOTALS:

256

726532.2

204036.4

522495.8

28.1

71.9

0.0

65964.1

65964.1

3.1

SUBSYSTEM 20395

SPACE UTILIZATION SUMMARY

 

 

 

 

 

 

 

 

 

 

NUMBER OF

DISK ARRAY

NET CAPACITY LOAD(%)

COLL FREE SPACE (%)

UNCOLL FREE SPACE(%)

 

FUNCTIONAL DEVICES

CAPACITY (MB)

TEST

PROD

OVERALL

TEST

PROD

OVERALL

TEST

PROD

OVERALL

 

------------------

-------------

-----

-----

-------

-----

-----

-------

-----

-----

-------

 

256

117880.2

0.0

56.4

56.4

0.0

42.4

42.4

0.0

1.3

1.3

SUBSYSTEM 22897

 

(NUMBER OF FUNCTIONAL DEVICES: 256)

 

 

 

 

 

 

SELECTED DEVICES SUMMARY

 

FUNCTIONAL CAPACITY (MB)

% FUNCT CAPACITY

--------

DISK ARRAY

--------

 

SELECTED

TOTAL FUNCTIONAL

 

NOT

 

NOT

-- PHYSICAL CAP USED (MB) --

COMP

 

DEVICES

CAPACITY (MB)

STORED

STORED

STORED STORED

SHARED

UNIQUE

TOTAL

RATIO

--------

-------------

--------- ---------

------ ------

--------

--------

--------

-----

PRODUCTION PARTITION:

256

726532.2

39125.9

687406.3

5.4

94.6

0.0

20157.3

20157.3

1.9

TOTALS:

256

726532.2

39125.9

687406.3

5.4

94.6

0.0

20157.3

20157.3

1.9

SUBSYSTEM 22897

SPACE UTILIZATION SUMMARY

 

 

 

 

 

 

 

 

 

 

NUMBER OF

DISK ARRAY

NET CAPACITY LOAD(%)

COLL FREE SPACE (%)

UNCOLL FREE SPACE(%)

 

FUNCTIONAL DEVICES

CAPACITY (MB)

TEST

PROD

OVERALL

TEST

PROD

OVERALL

TEST

PROD

OVERALL

 

------------------

-------------

-----

-----

-------

-----

-----

-------

-----

-----

-------

 

256

81609.4

0.0

25.2

25.2

0.0

73.9

73.9

0.0

0.9

0.9

Figure 74. Case Study IXFP Space Utilization Summary Extract

12.3 Case Study Summary

The summary is driven from the application point of view, because application generates the I/O demand. Then correlations are established with the RMF system and IXFP harware performance monitors. Those correlations are established using spread sheets of which data are manually extracted from various reporting tools.

DB2 PM establishes an exclusively read oriented I/O profile of the activity. Figure 75 on page 155, built from DB2 PM data out of several areas, shows that, per second, there are:

84.37 prefetch reads of 32 pages each

8.65 synchronous reads of one page

The average wait on request is 8.8 millisecond.

RMF device activity report, see Figure 76 on page 155, shows consistent information for I/O rate of 91.0 and queuing. Queing covers IOSQ, pending and disconnect. RMF cache activity report (see Figure 77 on page 156) has missing data for one LCU of each RVA.

IXFP report (see Figure 78 on page 156) affords the missing information on staging activity and gives a consistent view of activity (90.2 I/Os per second). The bandwidth I/O demand of 10.518 MB/s allows cross-checking of the average size of each I/O, which is around 117 KB.

Figure 79 on page 157 shows the I/O requests, and resulting staging activity, from the query getpage demand.

154Storage Management with DB2 for OS/390

Page 176
Image 176
IBM 5655-DB2, 5695-DF1 manual Case Study Summary, 28.1

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.