The following might also be helpful:

akka.remote {

  #log-remote-lifecycle-events = off

  netty.tcp {

    #port = 0

    server-socket-worker-pool {
      pool-size-min = 4
      pool-size-factor = 1
      pool-size-max = 8
    }

    client-socket-worker-pool {
      pool-size-min = 4
      pool-size-factor = 1
      pool-size-max = 8
    }
  }
}




On Saturday, July 2, 2016 at 12:31:12 PM UTC+1, Guido Medina wrote:
>
> Didn't read the serialization part, must be that I need my coffee, Kryo is 
> very well optimized, you don't know if is going to help until you test it.
> Kryo also also has a pool of serializers that are ready to be used and can 
> be improved if you declared the classes you are serializing.
>
> On Saturday, July 2, 2016 at 12:27:28 PM UTC+1, Guido Medina wrote:
>>
>> Try the following, these values work great,
>> you can try higher but I don't think it is going to help because the most 
>> of the bottleneck is because of design,
>> a problem related with how akka-remote is designed around Netty, but that 
>> will change soon: https://github.com/akka/akka-meta/issues/22
>>
>> akka.remote.default-remote-dispatcher {
>>   type = Dispatcher
>>   executor = "fork-join-executor"
>>
>>   fork-join-executor {
>>     parallelism-min = 4
>>     parallelism-factor = 1
>>     parallelism-max = 8
>>   }
>> }
>>
>> Also, what serialization are you using? Hopefully is the not default Java 
>> serialization, most people use Kryo serialization.
>>
>> Non-related but could help:
>>
>>    - Set Akka version to "2.3.15" (next week 2.3.16 is probably going to 
>>    be released)
>>    - Set Netty version to "3.10.6.Final" which will be part of next 
>>    release.
>>
>> See https://github.com/netty/netty/issues?q=milestone%3A3.10.6.Final and 
>> https://github.com/akka/akka/pull/20857
>>
>> HTH,
>>
>> Guido.
>>
>> On Saturday, July 2, 2016 at 12:14:24 AM UTC+1, Eduardo Fernandes wrote:
>>>
>>> Hi.
>>>
>>> I'm using Akka 2.3.13, Java edition.
>>>
>>> I'm making some performance tests and in the same machine with 8 cores I 
>>> see that the serialization process is my bottleneck.  I know that because 
>>> after an increment of actor cpu usage the throughput is exactly the same. 
>>>
>>> My actor system talks to 2 other nodes so I see 2 cores dedicated to 
>>> serialization. Is is possible to increase the number of threads for 
>>> serialization?
>>>
>>> I'm using standard Java serialization but I have my own serialization 
>>> implementation in my write/readObject methods so I think that switching to 
>>> kryo or similar will not enhance too much the throughput. 
>>>
>>> Many thanks for your help.
>>>
>>> /Eduardo
>>>
>>>

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