Hi Eric and Heiko,

doesn't the activator template for distributed workers also use a resilient
(and persisted (?)) master to handle failure?

cheers, Martin
Am 28.05.2014 17:31 schrieb "Heiko Seeberger" <[email protected]>:

> On 28 May 2014, at 16:17, Eric Nelson <[email protected]> wrote:
>
> Heiko, that makes sense. I appreciate your reply. I was planning on using
> an adaptive load balancing router to be smarter about what workers get
> work. I'm wondering about other possible advantages to the "worker pulls
> work" approach. One thing that comes to mind is that I'm constantly pushing
> work to worker nodes, and the waiting jobs are piling up in the message
> boxes of the workers. If a worker goes down, then my unprocessed messages
> are lost. The worker pull mechanism seems safer in that it only takes one
> job at a time and doesn't request another until it's completed its current
> task. Could that be another advantage?
>
>
> Well, in this case the unprocessed messages pile up at the master which
> can also go down. Hence I wouldn’t consider that aspect an advantage.
>
> Heiko
>
>
> Thanks again for any ideas.
>
> --Eric
>
> On Tuesday, May 27, 2014 11:16:30 PM UTC-6, Heiko Seeberger wrote:
>>
>> Eric,
>>
>> In your approach, the master is pushing work towards the workers whereas
>> in the other approach the workers are pulling work (technically its still a
>> push, but only after readiness has been signaled). The pull based approach
>> might be advantageous if the work is not evenly distributed, e.g. because
>> some messages need more time to be handled or the worker machines differ
>> largely in capacity.
>>
>> Hoping this helps.
>>
>> Heiko
>>
>>
>> On Wed, May 28, 2014 at 12:22 AM, Eric Nelson <[email protected]>wrote:
>>
>>> Hi all. I have a question based on the Activator template "akka
>>> distributed workers". I have already written a system very similar to this
>>> one. The main difference is that I don't have the workers register with the
>>> master. The master simply uses a cluster-based router to round-robin out
>>> work to anyone who is in the cluster with that worker path. This way, I
>>> don't have the complexity of having the workers constantly having to send
>>> out a registration message, I simply let the cluster router handle it with
>>> any worker actor who is currently up and in the cluster.
>>>
>>> But I feel like I might be missing something that this registration
>>> model provides, that maybe my views on this are too simplistic and there's
>>> a good reason for this model. Can anyone help me in understanding what
>>> might be the main deficiencies in my approach, and what I would gain by
>>> having a registration mechanism from workers to master? (I am using the
>>> Cluster Singleton approach for my Master actor, which works very nicely
>>> because I only want on master at a time in the cluster, who pull in work
>>> from a DB source, and distributes the work out to available worker actors).
>>>
>>> Any help and insight is greatly appreciated. I love Akka and the amazing
>>> community behind it.
>>>
>>> --Eric
>>>
>>> --
>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
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>>> current/additional/faq.html
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>>
>>
>>
>> --
>>
>> Heiko Seeberger
>> Twitter: @hseeberger
>> Blog: blog.heikoseeberger.name
>>
>
> --
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> --
>
> Heiko Seeberger
> Twitter: @hseeberger
> Blog: blog.heikoseeberger.name
>
>
>
>
>  --
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>>>>>>>>>>      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
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