2. USAGE GUIDELINES › 2.1 Data Analysis

2.1 Data Analysis

The following identifies methods of analyzing the data from
the CA MICS Analyzer for CA-IDMS.


Capacity

The data facilitates capacity planning, particularly in the
areas of workload characterization, forecasting, and
performance prediction for the database.


Performance

The data can be used to evaluate the performance of system
resources.  Performance measurements that quantify the load,
utilization, and response of IDMS systems can be evaluated.


Workload Characterization

A necessary task in any capacity evaluation effort is
workload characterization.  Data such as CPU and DASD
utilization can be used to track the IDMS workload and to
determine the resources required to support future workloads.


Trends

IDMS workload, resource consumption, and response times are
archived automatically so that growth trends and patterns can
be easily obtained and evaluated once the data is in the
database.


Problem Resolution

IDMS system information can be evaluated with information
about other host applications such as CICS, IMS, and TSO so
that a complete picture of usage and problems can be obtained
and evaluated.  This is particularly useful when attempting
to analyze system problems.