On Mon, Jul 4, 2016 at 12:09 AM, Eduardo Fernandes <edu...@gmail.com> wrote:
> Ok. I'll manage to change from 2.10 to 2.11. Yes, my project is in Java. > We're using Java 8 but the transition to 2.4 is not direct since we've > overriden some behaviors in 2.3 which changed in 2.4 ( for ex. > AllocationStrategy). I've tried to change to 2.4 and I got many errors. > Updating to 2.4 is a good idea, since OSS version of 2.3 is end-of-life. You find the migration guide here: http://doc.akka.io/docs/akka/2.4.7/project/migration-guide-2.3.x-2.4.x.html I would like to clarify one thing regarding the release of the new remoting (Artery). We are still developing it and we are releasing development milestones that you can try out. M3 to be released end of next week according to the plan <https://github.com/akka/akka-meta/issues/22>. It will be merged back to 2.4 and released in a 2.4.x version, but that will not happen next week. /Patrik > > Registering classes implicitly is not possible since we have many > serialization asymmetries so I have to list the classes explicitly in > configuration, as you've said. I enabled kryo traces to print out > automatically registered classed, which is very helpful. > > I'm working on it. > > Thanks again for you patience. > > /Eduardo > > On Sun, Jul 3, 2016 at 11:53 PM, Guido Medina <oxyg...@gmail.com> wrote: > >> Questions: >> >> - Why not just replace 2.10 with 2.11? From the Java perspective it >> should be transparent and irrelevant to your project *-if I >> understood correctly, your project is in Java-* >> - Are you using Java 8? If just why not just go Akka 2.4.x? >> >> Next week Akka 2.4.8+ (if sprint goes well I think) will get a new juice, >> akka-artery which will replace the current Netty basically giving you a >> much faster remote component. >> The automatic ID strategy is only available for akka-kryo 0.4.1+ which >> uses 2.11, automatic was the name we came up for default + incremental, >> basically to allow the developer to: >> >> - Register classes explicitly, for the ones registered manual >> performance will be better. >> - Register classes automatically not listed. >> >> HTH, >> >> Guido. >> >> On Sunday, July 3, 2016 at 10:39:50 PM UTC+1, Eduardo Fernandes wrote: >> >>> Hi All. >>> >>> I'm using akka-kryo-serialization_2.10 with incremental strategy. I'm >>> using 2.10 for everything so maybe I should update in a near future. >>> >>> I'm getting the error below. >>> >>> Anyway, after tunning kryo to work with my project, I never will get >>> more cpu's working in my bench so I'm afraid that I'll reach kryo limits >>> quite soon. >>> >>> To fully adapt kryo to our project maybe I need to include it in a >>> sprint. I have a considerable number of serializable classes. >>> >>> Thanks again for your time. >>> >>> --------------------- >>> >>> Serialization trace: >>> callbacks >>> (com.appgree.core.objectserver.providers.akka.client.ResponseImpl) >>> response >>> (com.appgree.core.objectserver.providers.akka.commands.CommandRequest) >>> commands >>> (com.appgree.core.objectserver.providers.akka.commands.CommandBulkRequest) >>> at >>> com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:125) >>> at >>> com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:528) >>> at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:682) >>> at >>> com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106) >>> at >>> com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:528) >>> at com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:737) >>> at >>> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:368) >>> at >>> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:289) >>> at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:682) >>> at >>> com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106) >>> at >>> com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:528) >>> at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:660) >>> at >>> com.romix.akka.serialization.kryo.KryoBasedSerializer.fromBinary(KryoSerializer.scala:397) >>> at >>> com.romix.akka.serialization.kryo.KryoSerializer.fromBinary(KryoSerializer.scala:239) >>> at >>> akka.serialization.Serialization$$anonfun$deserialize$1.apply(Serialization.scala:104) >>> at scala.util.Try$.apply(Try.scala:161) >>> at akka.serialization.Serialization.deserialize(Serialization.scala:98) >>> at akka.remote.MessageSerializer$.deserialize(MessageSerializer.scala:23) >>> at >>> akka.remote.DefaultMessageDispatcher.payload$lzycompute$1(Endpoint.scala:58) >>> at akka.remote.DefaultMessageDispatcher.payload$1(Endpoint.scala:58) >>> at akka.remote.DefaultMessageDispatcher.dispatch(Endpoint.scala:76) >>> at >>> akka.remote.EndpointReader$$anonfun$receive$2.applyOrElse(Endpoint.scala:929) >>> at akka.actor.Actor$class.aroundReceive(Actor.scala:467) >>> at akka.remote.EndpointActor.aroundReceive(Endpoint.scala:405) >>> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) >>> at akka.actor.ActorCell.invoke(ActorCell.scala:487) >>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) >>> at akka.dispatch.Mailbox.run(Mailbox.scala:220) >>> at >>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397) >>> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) >>> at >>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) >>> at >>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) >>> at >>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) >>> Caused by: java.lang.NullPointerException >>> at java.util.ArrayList.ensureExplicitCapacity(Unknown Source) >>> at java.util.ArrayList.ensureCapacity(Unknown Source) >>> at >>> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:96) >>> at >>> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:22) >>> at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:682) >>> at >>> com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106) >>> ... 32 more >>> >>> On Sun, Jul 3, 2016 at 3:43 PM, Eduardo Fernandes <edu...@gmail.com> >>> wrote: >>> >>>> Ok. Thanks again. >>>> >>>> I'll give it a try. I have to adapt our code a bit. >>>> >>>> Thanks for your time on this. >>>> >>>> El 3 jul 2016, a las 15:14, Guido Medina <oxy...@gmail.com> escribió: >>>> >>>> *Correction:* >>>> >>>> - Kryo offers a pool that you can use if you use Kryo directly, >>>> kind of the recommended way of using it. >>>> - Akka Kryo uses a similar model giving you the choice of using >>>> your own queue implementation for its internal pool of instances, each >>>> instance is an Akka serializer with its Kryo plus other things. >>>> >>>> You can see the relevant Akka Kryo code for the pool in this >>>> commit/diff: >>>> https://github.com/romix/akka-kryo-serialization/commit/045cd27dfd01c2c41ab7c64bf6e25a63b3fd8e42 >>>> >>>> Guido. >>>> >>>> On Sunday, July 3, 2016 at 1:47:45 PM UTC+1, Guido Medina wrote: >>>>> >>>>> Kryo and Akka Kryo don't use any threads, the remote-dispatcher is the >>>>> one doing the work, >>>>> and Netty threads sending/receiving the bytes from/to Akka remote >>>>> dispatcher as far as I can tell. >>>>> >>>>> Both Kryo and Akka Kryo have a pool with Kryo instances which also >>>>> happens to re-use the byte buffer making it very efficient in regards of >>>>> GC. >>>>> >>>>> Kryo pool by default uses a Java ConcurrentQueue (I contributed some >>>>> of it to Akka Kryo extension) which you can change. >>>>> Read the section, KryoQueueBuilder: >>>>> >>>>> >>>>> https://github.com/romix/akka-kryo-serialization#kryo-queue-builder-examples >>>>> >>>>> which will also improve even further the GC collection. >>>>> >>>>> HTH, >>>>> >>>>> Guido. >>>>> >>>>> On Sunday, July 3, 2016 at 1:28:46 PM UTC+1, Eduardo Fernandes wrote: >>>>>> >>>>>> Quite clean. Many thanks Guido! I'll try it out. I have to inventory >>>>>> my classes so it will take a while. I hope I'll have some numbers this >>>>>> night. >>>>>> >>>>>> Anyway, kryo will scale vertically, I suppose. Will kryo use more >>>>>> threads than I'm using right now? >>>>>> >>>>>> Thanks again for your help and knowledge. >>>>>> >>>>>> On Sun, Jul 3, 2016 at 2:13 PM, Guido Medina <oxy...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> I meant to say *"anything that implements Serializable"* >>>>>>> The classes list is important as Kryo won't write class names on the >>>>>>> messages but IDs of the classes: >>>>>>> >>>>>>> classes = [ >>>>>>> "com.mypackage.Class1", >>>>>>> "com.mypackage.Class2" >>>>>>> ] >>>>>>> >>>>>>> Suffice to say every node of the cluster must have the same IDs so >>>>>>> that's some sort of configuration you agree upon. >>>>>>> I find convenient to have a package in a "common" jar project with >>>>>>> all the classes that I'm going to share (Serialize-ables) >>>>>>> and a "common.conf" with Akka configuration, as I can build my final >>>>>>> configuration by putting together Akka configurations, >>>>>>> even using place holders, like this: >>>>>>> >>>>>>> config = parseFile(new File(configPath)).withFallback(parseResources >>>>>>> ("common.conf"))...resolve(); >>>>>>> >>>>>>> You can use that fallback call as many times as you wish and it >>>>>>> won't to resolve place holders until you don't call resolve() >>>>>>> >>>>>>> HTH, >>>>>>> >>>>>>> Guido. >>>>>>> >>>>>>> >>>>>>> On Sunday, July 3, 2016 at 12:57:21 PM UTC+1, Guido Medina wrote: >>>>>>>> >>>>>>>> I have mimic-ed your configuration and corrected some errors, also >>>>>>>> added Kryo if you want to give it a chance with the configuration I >>>>>>>> believe >>>>>>>> will do best. >>>>>>>> I default the "java" serializer to Kryo, that way, everything that >>>>>>>> inherits "Serializable" will use Kryo, also, I list every class that I >>>>>>>> care >>>>>>>> (performance wise) under Kryo list. >>>>>>>> >>>>>>>> Hope this give you better result, also, don't underestimate the the >>>>>>>> default mailbox you have commented out: >>>>>>>> >>>>>>>> akka { >>>>>>>> extensions = >>>>>>>> ["com.romix.akka.serialization.kryo.KryoSerializationExtension$"] >>>>>>>> >>>>>>>> actor { >>>>>>>> provider = "akka.cluster.ClusterActorRefProvider" >>>>>>>> serializers.java = >>>>>>>> "com.romix.akka.serialization.kryo.KryoSerializer" >>>>>>>> default-mailbox.mailbox-type = >>>>>>>> "akka.dispatch.SingleConsumerOnlyUnboundedMailbox" >>>>>>>> >>>>>>>> default-dispatcher { >>>>>>>> type = Dispatcher >>>>>>>> executor = "fork-join-executor" >>>>>>>> >>>>>>>> fork-join-executor { >>>>>>>> parallelism-min = 4 >>>>>>>> parallelism-factor = 1 >>>>>>>> parallelism-max = 8 >>>>>>>> } >>>>>>>> } >>>>>>>> >>>>>>>> kryo { >>>>>>>> kryo-reference-map = false >>>>>>>> idstrategy = "automatic" >>>>>>>> use-manifests = true >>>>>>>> buffer-size = 1024 >>>>>>>> type = "nograph" >>>>>>>> >>>>>>>> classes = [ >>>>>>>> "com.mypackage.Class1", >>>>>>>> "com.mypackage.Class2" >>>>>>>> ] >>>>>>>> } >>>>>>>> } >>>>>>>> >>>>>>>> remote { >>>>>>>> log-remote-lifecycle-events = off >>>>>>>> >>>>>>>> netty.tcp { >>>>>>>> >>>>>>>> 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 >>>>>>>> } >>>>>>>> } >>>>>>>> >>>>>>>> default-remote-dispatcher { >>>>>>>> type = Dispatcher >>>>>>>> executor = "fork-join-executor" >>>>>>>> >>>>>>>> fork-join-executor { >>>>>>>> parallelism-min = 4 >>>>>>>> parallelism-factor = 1 >>>>>>>> parallelism-max = 8 >>>>>>>> } >>>>>>>> } >>>>>>>> } >>>>>>>> >>>>>>>> cluster { >>>>>>>> metrics.enabled = off >>>>>>>> jmx.enabled = off >>>>>>>> } >>>>>>>> } >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> On Sunday, July 3, 2016 at 12:45:57 PM UTC+1, Eduardo Fernandes >>>>>>>> wrote: >>>>>>>>> >>>>>>>>> I'm using the configuration below, following Guido suggestions. >>>>>>>>> >>>>>>>>> Anyway, everything behaves like Akka/netty add more communication >>>>>>>>> threads only if a add more endpoints. Adding more actores talking >>>>>>>>> from host >>>>>>>>> 1 to host 2 is not improving throughput, despite of the available idle >>>>>>>>> cpu's. Does this make sense? >>>>>>>>> >>>>>>>>> Of course if my processing were not only dedicated to echo back >>>>>>>>> some characters the processing cpu would hide the serialization >>>>>>>>> performance. It just for find the maximum throughput (net >>>>>>>>> performance) of a >>>>>>>>> couple of actorsystem's. >>>>>>>>> >>>>>>>>> My topology is (attached file). Each client process has 10.000 >>>>>>>>> internal sync clients and uses a single thread to dispatch messages. A >>>>>>>>> single client reaches around 450.000/s and two reaches around >>>>>>>>> 525.000/s. >>>>>>>>> Each client talks to a particular actor in host 2 which talks to a >>>>>>>>> particular actor in host 3. >>>>>>>>> >>>>>>>>> Again, many thanks for your help. >>>>>>>>> >>>>>>>>> Best regards. >>>>>>>>> >>>>>>>>> >>>>>>>>> [image: Inline image 1] >>>>>>>>> >>>>>>>>> >>>>>>>>> Again, many thanks for your help. >>>>>>>>> >>>>>>>>> actor { >>>>>>>>> provider = "akka.cluster.ClusterActorRefProvider" >>>>>>>>> default-dispatcher { >>>>>>>>> throughput = 1024 >>>>>>>>> fork-join-executor { >>>>>>>>> parallelism-min = 6 >>>>>>>>> parallelism-factor = 1 >>>>>>>>> parallelism-max = 8 >>>>>>>>> } >>>>>>>>> } >>>>>>>>> >>>>>>>>> # default-mailbox { >>>>>>>>> # mailbox-type = >>>>>>>>> "akka.dispatch.SingleConsumerOnlyUnboundedMailbox" >>>>>>>>> # } >>>>>>>>> >>>>>>>>> } >>>>>>>>> remote { >>>>>>>>> log-remote-lifecycle-events = off >>>>>>>>> netty.tcp { >>>>>>>>> tcp-nodelay = on >>>>>>>>> write-buffer-high-water-mark = 40000000b >>>>>>>>> write-buffer-low-water-mark = 0b >>>>>>>>> send-buffer-size = 40000000b >>>>>>>>> receive-buffer-size = 40000000b >>>>>>>>> >>>>>>>>> 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 Sun, Jul 3, 2016 at 1:05 PM, Roland Kuhn <goo...@rkuhn.info> >>>>>>>>> wrote: >>>>>>>>> >>>>>>>>>> Doesn't the classical remoting perform serialization within the >>>>>>>>>> single actor responsible for each connection? >>>>>>>>>> >>>>>>>>>> Sent from my iPhone >>>>>>>>>> >>>>>>>>>> On 03 Jul 2016, at 12:57, Viktor Klang <viktor...@gmail.com> >>>>>>>>>> wrote: >>>>>>>>>> >>>>>>>>>> Eduardo, are you sure that there aren't any synchronized-blocks >>>>>>>>>> or locks used? (i.e. is this a contention problem rather than a >>>>>>>>>> paralellization problem?) >>>>>>>>>> >>>>>>>>>> On Sun, Jul 3, 2016 at 12:28 PM, Eduardo Fernandes < >>>>>>>>>> edu...@gmail.com> wrote: >>>>>>>>>> >>>>>>>>>>> Ups... sorry for misunderstanding your question. >>>>>>>>>>> >>>>>>>>>>> My principal problem is not the overhead itself. My problem is >>>>>>>>>>> that I can't get more threads serializing objects to a node. >>>>>>>>>>> Example: one >>>>>>>>>>> client I have 30%, lets say. If I add other client talking to other >>>>>>>>>>> actor >>>>>>>>>>> instance in parallel I would expect around 60% cpu usage in my >>>>>>>>>>> server (I >>>>>>>>>>> have 6 threads minimum and I'm pretty sure that the configuration >>>>>>>>>>> would >>>>>>>>>>> enable that from workers and netty perspective). Nevertheless I >>>>>>>>>>> get around >>>>>>>>>>> 40% of my 8 cores machine working. If I put the actors in different >>>>>>>>>>> processes I get the 60% I was expecting. When I say server I mean an >>>>>>>>>>> actorsystem process (a single java process). >>>>>>>>>>> >>>>>>>>>>> Thanks again for your help. >>>>>>>>>>> >>>>>>>>>>> On Sun, Jul 3, 2016 at 11:55 AM, Viktor Klang < >>>>>>>>>>> viktor...@gmail.com> wrote: >>>>>>>>>>> >>>>>>>>>>>> Hi Eduardo, >>>>>>>>>>>> >>>>>>>>>>>> I meant the overhead of the Java Serialization envelope. >>>>>>>>>>>> >>>>>>>>>>>> On Sat, Jul 2, 2016 at 10:12 PM, Eduardo Fernandes < >>>>>>>>>>>> edu...@gmail.com> wrote: >>>>>>>>>>>> >>>>>>>>>>>>> Hi Viktor. >>>>>>>>>>>>> >>>>>>>>>>>>> I'm using basic (binary) serialization of basic Java types >>>>>>>>>>>>> (int, String (UTF), long, arrays of basic types, etc...). >>>>>>>>>>>>> >>>>>>>>>>>>> The overhead is that depending of internal values there is no >>>>>>>>>>>>> send to serialize some members and other not. If you merge your >>>>>>>>>>>>> functional >>>>>>>>>>>>> logic with the serialization you can make optimizations that a >>>>>>>>>>>>> generic >>>>>>>>>>>>> serializar can't do. Example. Suppose that if a member A has a >>>>>>>>>>>>> null value >>>>>>>>>>>>> you don't have to serialize other member B. Maybe the member B >>>>>>>>>>>>> you don't >>>>>>>>>>>>> have to serialize could have a null value which is fast to >>>>>>>>>>>>> serialize but it >>>>>>>>>>>>> is even faster you don't have even to serialize the null. This >>>>>>>>>>>>> type of >>>>>>>>>>>>> overhead is only possible if the serializer knows about your >>>>>>>>>>>>> functional >>>>>>>>>>>>> logic. >>>>>>>>>>>>> >>>>>>>>>>>>> Regards >>>>>>>>>>>>> >>>>>>>>>>>>> On Sat, Jul 2, 2016 at 10:05 PM, Viktor Klang < >>>>>>>>>>>>> viktor...@gmail.com> wrote: >>>>>>>>>>>>> >>>>>>>>>>>>>> Hi Eduardo, >>>>>>>>>>>>>> >>>>>>>>>>>>>> Perhaps I misunderstood, what serialization format are you >>>>>>>>>>>>>> emitting in your readObject/writeObject? >>>>>>>>>>>>>> What overhead are you observing compared to using a custom >>>>>>>>>>>>>> Serializer? >>>>>>>>>>>>>> >>>>>>>>>>>>>> On Sat, Jul 2, 2016 at 10:02 PM, Eduardo Fernandes < >>>>>>>>>>>>>> edu...@gmail.com> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> Hi. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> If you have writeObject/readObject defined in your class the >>>>>>>>>>>>>>> Java plain serialization will invoke those methods. In my case >>>>>>>>>>>>>>> all my >>>>>>>>>>>>>>> internal members and class references are also serialized using >>>>>>>>>>>>>>> the very >>>>>>>>>>>>>>> same technique. So this is equivalent to technologies like kryo >>>>>>>>>>>>>>> and >>>>>>>>>>>>>>> similars since there is no overhead if you serialize basic >>>>>>>>>>>>>>> members. In >>>>>>>>>>>>>>> other words the pre-compiles classes you get from kryo are >>>>>>>>>>>>>>> already made so >>>>>>>>>>>>>>> there is no performance enhancement in this case. The big >>>>>>>>>>>>>>> advantage of kryo >>>>>>>>>>>>>>> is that you don't have to create the writeObject/readObject by >>>>>>>>>>>>>>> yourself. In >>>>>>>>>>>>>>> my particular case I've already done that job and my >>>>>>>>>>>>>>> serialization is >>>>>>>>>>>>>>> optimized in particular cases where I don't have to serialize >>>>>>>>>>>>>>> all members >>>>>>>>>>>>>>> depending of my semantic. I've made some tests and doing this >>>>>>>>>>>>>>> way is faster >>>>>>>>>>>>>>> than kryo but you have to burn some calories implementing a >>>>>>>>>>>>>>> optimized >>>>>>>>>>>>>>> serialization code. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Bests regards and thanks for your comment. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> On Sat, Jul 2, 2016 at 9:27 PM, Viktor Klang < >>>>>>>>>>>>>>> viktor...@gmail.com> wrote: >>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> I'm not sure I understand why write/readObject special >>>>>>>>>>>>>>>> methods would necessarily be faster? Most of the waste of Java >>>>>>>>>>>>>>>> Serialization is its envelopes and using class names etc. >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> On Sat, Jul 2, 2016 at 1:14 AM, Eduardo Fernandes < >>>>>>>>>>>>>>>> edu...@gmail.com> 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 >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/ >>>>>>>>>>>>>>>>> >>>>>>>>>> Check the FAQ: >>>>>>>>>>>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html >>>>>>>>>>>>>>>>> >>>>>>>>>> Search the archives: >>>>>>>>>>>>>>>>> https://groups.google.com/group/akka-user >>>>>>>>>>>>>>>>> --- >>>>>>>>>>>>>>>>> You received this message because you are subscribed to >>>>>>>>>>>>>>>>> the Google Groups "Akka User 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onmousedown="this.href='https:// >>>>>>>>>>> >>>>>>>>>> -- >>>> >>>>>>>>>> Read the docs: http://akka.io/docs/ >>>> >>>>>>>>>> Check the FAQ: >>>> http://doc.akka.io/docs/akka/current/additional/faq.html >>>> >>>>>>>>>> Search the archives: >>>> https://groups.google.com/group/akka-user >>>> --- >>>> You received this message because you are subscribed to a topic in the >>>> Google Groups "Akka User List" group. >>>> To unsubscribe from this topic, visit >>>> https://groups.google.com/d/topic/akka-user/EVsIxMEDKeI/unsubscribe. >>>> To unsubscribe from this group and all its topics, send an email to >>>> akka-user+...@googlegroups.com. >>>> To post to this group, send email to akka...@googlegroups.com. >>>> Visit this group at https://groups.google.com/group/akka-user. >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>>> >>> -- >> >>>>>>>>>> Read the docs: http://akka.io/docs/ >> >>>>>>>>>> Check the FAQ: >> http://doc.akka.io/docs/akka/current/additional/faq.html >> >>>>>>>>>> Search the archives: https://groups.google.com/group/akka-user >> --- >> You received this message because you are subscribed to a topic in the >> Google Groups "Akka User List" group. >> To unsubscribe from this topic, visit >> https://groups.google.com/d/topic/akka-user/EVsIxMEDKeI/unsubscribe. >> To unsubscribe from this group and all its topics, send an email to >> akka-user+unsubscr...@googlegroups.com. >> To post to this group, send email to akka-user@googlegroups.com. >> Visit this group at https://groups.google.com/group/akka-user. >> For more options, visit https://groups.google.com/d/optout. >> > > -- > >>>>>>>>>> Read the docs: http://akka.io/docs/ > >>>>>>>>>> Check the FAQ: > http://doc.akka.io/docs/akka/current/additional/faq.html > >>>>>>>>>> Search the archives: https://groups.google.com/group/akka-user > --- > You received this message because you are subscribed to the Google Groups > "Akka User List" group. > To unsubscribe from this group and stop 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