Hi,

I know that akka stream doesn't support remote actor. But I am trying to 
achieve something similar to "balancer" stages of akka stream for remote 
actors / remote processes. My user case is a bit complicated but I will use 
a simple example to demonstrate it. 

Suppose, I have a reactive source: such as val source =  Source(1 to 10) 
which run on VM1 (data can be pulled from Kafka constantly). On VM2, and 
VM3, I will need to somehow run an expensive computation runnable graph 
(such as Source.via(Flow.something).to(Sink.ignore)) which operates on a 
subset of VM1's source's elements . For instance, I want VM2 to handle even 
number; such as Source(2 to 10 by 2); and VM3 handle odd number such as 
Source(1 to 9 by 2); In other words, given that VM1 having a single 
publisher which publishes a data stream consistently; I want to somehow 
load balance it to VM2 and VM3 (remote PC) to distribute computation; which 
VM (2 or 3) it should forward to is based on property of the number such as 
if number is odd or even.

In case the computation runnable graph must be on VM2 and VM3, what is the 
best way to achieve it given that the data source is on VM1? Via TCP? If 
so, how to make sure it's back-pressure. 

I guess one way to do is somehow run 2 actors (ActorPublishers) on VM2, 
VM3; when those 2 are back-pressued from downstream; it will pull data from 
source on VM1; It this the correct way to do so. Some code will be helpful. 

Thanks.

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