Another factor would be how many CP's you have. If you can reduce total
mips and increase CP's, you might find it works for your needs. Cutting
by half seems a bit extreme, IMO.

Dave Gibney
Information Technology Services
Washington State University


> -----Original Message-----
> From: IBM Mainframe Discussion List [mailto:[email protected]] On
> Behalf Of Tom Harper
> Sent: Thursday, March 26, 2009 1:25 PM
> To: [email protected]
> Subject: Re: Performance problems
> 
> Tracy,
> 
> I believe you are seeing the effects of queuing. Consider the opposite
> issue. Suppose you are having response time problems and you wish to
> resolve them. Sometimes adding just a small amount of resource will
> reduce your response time dramatically. The converse is true: removing
> a
> small amount of resource can increase your response time dramatically.
> 
> The reason the simple math model does not reflect reality is because
> each of your transactions response times consist of the sum of times
> needed of each resource, plus the sum of the times waiting for that
> resource. So even though the resource usage is unchanged, the wait
time
> for the resource (in this case, the CPU), goes up. Sometimes you can
> see
> this in queues at the grocery store or bank: adding a single checker
or
> teller can quickly reduce your time in line. The time to process your
> transaction is unchanged, but the time you spend waiting got the
> process
> to occur is reduced, and you are happy.
> 
> IBM has a solution for this: Capacity on Demand. You configure your
> system similar to what you are proposing, but when you need additional
> capacity, it is provided. It is not free, however.
> 
> Tom Harper
> IMS Utilities Development Team
> Neon Enterprise Software
> Sugar Land, TX
> 
> 
> 
> -----Original Message-----
> From: IBM Mainframe Discussion List [mailto:[email protected]] On
> Behalf Of Adams, Tracy
> Sent: Thursday, March 26, 2009 3:14 PM
> To: [email protected]
> Subject: Performance problems
> 
> Okay, this is a continuation of a previous post...
> 
> First of all we have an 88 mip cpu that is not constrained in any way.
> RMF cpu intervals are 20% during the day and during the 3 hours of
> batch
> 100% like a good MVS system can do.
> 
> So with the rising cost of software, mainly CICS, we are looking to
cut
> the mainframe's capacity in half.  Now in the simplest math, batch
> should double in time and daily rmf stat intervals will increase but
> still not hit 100%, as long as no other constraints are revealed.
> 
> Some basic tests have revealed results that I can't explain.
> 
> Response time in our IDMS transactional system during the day (as
> record
> via PMDC writing smf records translated by MXG).
> 
> A typical SAS model of performance for a given online transaction
would
> be 95% < .5, 4% < 1, 1 % > 1.
> 
> When I set a hard cap at 90% the model looks more like 70% < .5, 15% <
> 1, 10% < 2 and 5% > 2 of that 1% > 3.
> 
> When I set the hard cap at 75% the model looks more like 50% < .5, 15
<
> 1, 20% < 2 and 7% > 2 and 3% > 3.
> 
> And when I set the hard cap at 50% the model looks more like 40% < .5,
> 25 < 1, 25% < 2 and 10% > 2 and 3% > 3. And the users now users are
> really complaining now.
> 
> 
> RMF type 70 records (cpu) for all four scenerios (100%, 90%, 75% and
> 50%) show averages in the 20% utilized.
> 
> RMF type 74 records (IO) show avg resp in single digits.
> 
> UIC hasn't fallen below 255 in 10 years.
> 
> Batch... completed in the same time frame set at 25% as it did at
100%.
> 
> So if the hard cap sets the amount of Service units consumed not the
> actual speed of the processor, why is response time in the online
going
> so far south when the CPU is still running unconstrained?  Why did
> batch
> not slow down?
> 
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