|
When I did the same in a node app using itoolkit, the LPAR simply died onits feet. It wasn't obvious why because the node app was not showing up as
using much CPU.
Would be curious to know what the call stack looked like and also other
machine stats (i.e. wrkdsksts).
Also, I've found issues in using bash with Node.js (in my case used mass
amounts of CPU after exiting a node REPL) so now I use zsh as my PASE shell
(can't remember if I've said that here or not). Don't know if your issue
is at all related but I thought I'd convey.
Aaron Bartell
litmis.com - Services for open source on IBM i
On Sat, Oct 10, 2015 at 5:32 PM, Kevin Turner <kevin.turner@xxxxxxxxxxxxxxx>
wrote:
It may or may not be of interest or relevant, but we have lots of code--
that sits and waits of data on a keyed data queue. It waits for 5 seconds
then loops round and checks some stuff (like an instruction to end) then
waits again.
When I did the same in a node app using itoolkit, the LPAR simply died on
its feet. It wasn't obvious why because the node app was not showing up as
using much CPU. However it certainly was the culprit - I changed to wait
for 60 seconds instead as it wasn't essential to loop every 5 secs. The
problem went away.
On 10 Oct 2015, at 15:58, Nathan Andelin <nandelin@xxxxxxxxx> wrote:
and
I am curious whether or not node scales more efficiently than the .NET
Provider in terms of concurrent users... I'm just curious which handles
concurrent users more efficiently in terms of CPU%.
All mainstream web application architectures scale by adding more cores
memory and distributing (load balancing) "requests" across pools ofwe've
application server instances, and occasionally across pools of virtual
machine instances.
You're smart to ask about CPU efficiency, IMHO. And the other concern is
how much additional time system administrators will need to allocate to
"managing" distributed computing architectures.
Regarding CPU efficiency, you should have a wake-up call if you add 5250
replacement to the comparison. Any of the web application interfaces
mentioned in this thread (Java, PHP, Python, Ruby, Node.js, MS .Net) willto
increase CPU usage by at least 3,000% over comparable 5250 interfaces.
5250 interfaces that consume 3 milliseconds of CPU time will consume a
minimum of 90 milliseconds after being converted to use a browser user
interface. Web interfaces often consume 200-300 milliseconds of CPU time
generate "an HTML page".due
The question of comparing CPU efficiency of Node.js vs. MS .Net is hard
of the lack of benchmarks. Anecdotal evidence suggests that interpretiveXMLSERVICE
scripting environments will consume several times more CPU than compiled
applications. But that could be ameliorated by reducing the amount of
"work" performed by Node.js or MS .Net by moving it to run in the IBM i
native environment.
Mike Pavlak of Zend has a story about a customer which was using
to run the ADDLIBLE command from PHP and complained about theperformance.
Rather than "evoke" the "toolkit" for each library in the library list,libraries.
Mike suggested calling a CL program once to "add" all the needed
That fixed the performance problem.list
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