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VELOCI-RAPTOR:
An Intelligent & Intuitive Performance Optimization Tool
VELOCI-RAPTOR (VR) is an
integrated optimization system that tunes I/O functions to improve
throughput for batch and on-line processing. VELOCI-RAPTOR
dynamically gathers information during I/O requests to VSAM and SAM
(QSAM, BSAM and EXCP) data sets and uses this information to access
a knowledge-base of I/O processing rules.
VR is an intelligent, intuitive, performance optimization tool
designed to dramatically improve system performance while
significantly reducing system overhead by automating tuning
activities. VR reduces system overhead by optimally allocating
buffers for VSAM files to provide the best throughput and response
time for I/O requests. It uses 256 LSR buffer pools to speed
application processing and provides virtual storage constraint
relief by placing control blocks and buffers above the 16MB line. VR
ensures optimal tuning and buffer allocation for non-VSAM files
while optimizing the use of SAM/E chained scheduling for
asynchronous sequential access.
By buffering VSAM and non-VSAM files more efficiently, your system
can process applications more quickly with less demand on the CPU.
VR allows users to defer CPU upgrades thereby saving both time and
money.
VR addresses the following typical challenges encountered by most
Data Centres:
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1. |
Automatically reducing system overhead and associated batch
window constraints. |
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2. |
Elimination
of manual and labour intensive system tuning activities. |
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3. |
zSeries CPU
resource optimization, deferring or eliminating CPU upgrade
activities. |
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4. |
Safeguarding Service Level Agreement (SLA) goals for on-line
and batch workloads . |
VR generates the following
benefits:
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Faster processing for VSAM and
non-VSAM files, significantly optimizing batch processing. |
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Automation of system tuning
activities, eliminating the requirement for JCL or
application code changes, thus releasing technical personnel
for other duties. |
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■ |
Efficient
I/O processing minimizes CPU, Memory & I/O resources,
eradicating associated CPU and I/O subsystem upgrade
activities. |
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SLA
objective goals are satisfied, potentially allowing the
customer to revisit these metrics for providing an even
better, faster and more reliable service for the business. |
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Virtual
Storage Constraint Relief (VSCR), by deploying LSR and NSR
buffers above the 16 MB line, while dynamic buffering
safeguards the efficient allocation of virtual storage;
period! |
VR is easily and transparently
installed on any z/OS system. Once enabled, batch processing
jobs are analyzed and then modified to utilize the best possible
accesses to each file. An immediate and dramatic difference in
run times will be seen as buffers are allocated more
efficiently, EXCP’s are reduced, memory is freed for application
programs and file processing is optimized.
VR contains a proprietary database containing the parameters and
values that deliver the best I/O performance by type of device
and by type of access. Users can override these rules by keying
in their own parameters, or by excluding a dataset or job name
from the VR optimization process. However, most users use the
default parameters and achieve outstanding results from its I/O
optimization. VR intercepts the open and close of any data set
and optimally buffers VSAM, QSAM, and BSAM files to reduce
system overhead, while utilizing super fast read/write routines
to significantly reduce the time required for batch processing.
VR customers routinely report that they can reduce VSAM batch
processing times from 60 percent to 90 percent. QSAM and BSAM
batch processing times can be reduced by up to 85 percent. VR
saves up to 50% elapsed time for DB2 Unloads and Reloads and
saves up to 40% elapsed time for IDMS sweeps, naming but a few
deployment examples...
VR runs on all z/OS platforms requiring only 10k of common
storage (CSA) below the 16MB line and the user interface
requires ISPF Version 3.3 or above.
Detailed statistics can be produced showing the type of
buffering that was applied and the amount of data movement that
occurred. Also available is the number and type of program I/O
requests for VSAM files. These statistics may also be recorded
in SMF records for later analysis. There are also
pre-implementation reports available to assist in determining
which jobs are likely to provide the most benefit, thus
generating a structured “quick wins” based implementation
schedule.
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Automate the optimization of z/OS I/O subsystem resources for
faster processing. |
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