WRITE PER SEC is the average number of write operations per second for the subsystem.

I/O PER SEC is the average number of I/O operations per second for the subsystem. This field may not be equal to the sum of READ PER SEC and WRITE PER SEC, either because it includes other I/O operations, such as sense commands, or because there may be more than one read or write operation per channel program. Accounting of I/O per second is based on number of Locate Record CCWs met in the channel programs.

READ HIT% is the percentage of read operations for which the referred track was present in cache storage.

WRITE HIT % is the percentage of write operations for which the referred track was present in cache storage.

STAGE PER SEC is the number of transfers of tracks of data from DASD storage to cache storage per second.

HITS / STGE is the ratio of cache hits (in number of I/Os) to cache misses (in number of staged tracks).

 

 

 

 

 

 

IBM ITSO POKEEPSIE

 

 

 

17:30 Thursday, February 18,

 

 

 

XSA/REPORTER

 

 

 

 

 

CACHE EFFECTIVENESS OVERALL SUMMARY

 

 

 

 

18FEB1999

17:32:04

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

SIBCEIO

V2

R1 L1

 

REPORT START DATE: 17FEB1999

REPORT END DATE: 17FEB1999

 

 

 

 

 

 

 

 

 

 

 

 

 

 

REPORT START TIME: 15:16

 

REPORT END TIME: 15:54

 

 

 

 

 

 

 

 

 

 

 

 

 

 

SUBSYSTEM NAME: 20395

 

(CACHE SIZE: 1024 MB

NVS SIZE:

8 MB)

 

 

 

 

 

 

 

 

 

 

 

FDID

DEV

VOLSER

T/P

READ

WRITE

I/O

READ

READ

WRITE

I/O

DFW

STAGE

HITS/

LOW

 

ADDR

 

 

PER SEC

PER SEC

PER SEC

RATIO

HIT %

HIT %

HIT %

CONSTR

PER SEC

STGE

REF CT

----

----

--------

---

-------

-------

-------

-----

-----

-----

-----

------

-------

-----

------

0000

2B00

RV2B00

P

 

4.9

 

0.0

 

4.2

11077

100.0

100.0

100.0

0.00

11.2

 

0.4

76.4

0001

2B01

RV2B01

P

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

0.00

 

0.0

 

0.0

 

0.0

0002

2B02

RV2B02

P

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

0.00

 

0.0

 

0.0

 

0.0

00FE

2BFE

RV2BFE

P

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

0.00

 

0.0

 

0.0

 

0.0

00FF

2BFF

RV2BFF

P

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

 

0.0

0.00

 

0.0

 

0.0

 

0.0

SUBSYSTEM

 

READ

WRITE

I/O

READ

READ

WRITE

I/O

DFW

STAGE

HITS/

LOW

TRACK

SUMMARY

 

PER SEC

PER SEC

PER SEC

RATIO

HIT %

HIT % HIT % CONSTR

PER SEC

STGE

REF CT

OCCUP

 

 

 

-------

-------

-------

-----

-----

-----

-----

------

-------

-----

------

------

PROD PARTITION

 

53.8

 

0.0

 

45.7

61329

99.3

100.0

99.3

 

0.0

113.2

0.5

73.7

 

OVERALL TOTALS

 

53.8

 

0.0

 

45.7

61329

99.3

100.0

99.3

 

0.0

113.2

0.5

73.7

25050

Figure 55. IXFP Cache Effectiveness Subsystem Summary Report

11.3.3 Space Utilization Report

Figure 56 on page 139 shows the subsystem space utilization summary report. This information is mainly storage business oriented, but high net capacity load (NCL) ratios may trigger more intensive RVA background garbage collection processes, which can impact overall performance. Moreover, low compression ratios involve higher activity between cache and disk. An RVA is considered as balanced with a 3.6 compression ratio and with an NCL lower than 75%.

138Storage Management with DB2 for OS/390

Page 160
Image 160
IBM 5655-DB2, 5695-DF1 manual Space Utilization Report, IBM Itso Pokeepsie

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.