Hallo everyone,
I have a question about CPU-usage and a large number of actors. I'm
currently playing with a server-system with 15 machines and each machine
has 2x Intel(R) Xeon(R) CPU E5-2450 v2 @ 2.50GH (8 Cores, 16 Threads for
each CPU)
I also have a measurement client which is one of the machines.
I have 4 machines e. g. and they handle 20 000 actors with a
cluster-configuration. If I send a number of messages to each actor at one
time and measure the time between sending and receiving on the measurement
client, I found out that I can only send a certain amount of messages to
the actors. More messages lead to flow control warnings and the client does
not get all answers in time.
If I use 12 machines, the cluster-system can handle more messages, which
makes sense.
What surprised me is the CPU-usage for the configuration with 4 machines.
The CPU-usage per machine is only around 1000% (possible is 3200%; with
Linux top command).
I use the following dispatcher-configuration. Each other configuration
(e.g. a big core-pool-size or bigger/smaller throughput) have worse time
results and lead to more CPU-usage.
myDispatcher {
type = Dispatcher
executor = "thread-pool-executor"
thread-pool-executor {
core-pool-size-min = 16.0
core-pool-size-factor = 2.0
core-pool-size-max = 32
}
throughput = 60
}
My explanation for this phenomenon is that each CPU can only handle a
certain amount of actors at one point of time (or a small range) and a
certain number of actors do not need all the power of one core/thread.
Could this be the explanation?
Best Regards
Flo
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