> 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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