Did you consider remove the need for communication between service A and 
service B . Instead use redis as message pipe?

-- 
rubyonrailsx
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On Monday, September 10, 2012 at 4:44 PM, Yi Tan wrote:

> Hi node mates:
> 
> I'm looking for your advice about how to design and implement an mechanism 
> for real-time socket-based cross clustered-process data communication and 
> computation. 
> 
> [The server layout]
> 
> clientA <--tcp socket--> node service A <--> DataModelA <--> unique radis 
> data store 
>                                             
> clientB <--tcp socket--> node service B <--> DataModelB <--> unique radis 
> data store
> 
> * node service A and B are cluster on the same server 
> * 1 data model represent 1 client at the run time
> * both node service A and B talk to the same redis data store
> 
> [The function request]
> 
> I need to implement a mechanism, in which: 
> 1.  clients in difference processes can communication with each other 
> efficiently.
> 2. there need to be a centralized place for data computation base on data 
> models represents difference clients 
> 
> the logic looks like the following diagram:
> 
> clientA <--tcp socket--> node service A
>                                             |
>                                       socket pipe
>                                             |
>                                            v
> clientB <--tcp socket--> node service B <--> DataModelA and B <--> unique 
> radis data store
> 
> 
> Do you know what is the best way to do this, or is there something already 
> been built
> 
> Many thanks,
> 
> ty
> 
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