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Message from discussion best practice for real-time socket-based cross clustered-process data communication and computation
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Dominic Tarr  
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 More options Sep 12 2012, 5:48 pm
From: Dominic Tarr <dominic.t...@gmail.com>
Date: Wed, 12 Sep 2012 23:47:54 +0200
Local: Wed, Sep 12 2012 5:47 pm
Subject: Re: [nodejs] Re: best practice for real-time socket-based cross clustered-process data communication and computation
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You need to make every "client" a tcp server.
if they live on the same machine, use a unix socket instead of a port number.
see the docs for "net".

Obviously, each node will need to keep track of every other node it
needs to communicate with. something like http://npm.im/seaport might
be good for that.

Also, what kind of messages are they sending?

On Tue, Sep 11, 2012 at 10:21 AM, Yi Tan <yi2...@gmail.com> wrote:
> Thanks Johnny,

> dnode is very inspiring. cluster2 may help us a lot in production!

> Regards,

> ty

> 2012/9/11 Johnny Honestly <mostmodern...@gmail.com>

>> I heard about this cluster manager today directly from the guys at ebay
>> working on ql.io

>> https://github.com/ql-io/cluster2

>> You can stream buffers from parents to child process using stdin/out

>> If you need sockets try dnode

>> https://github.com/substack/dnode

>> On Monday, September 10, 2012 1:45:12 AM UTC-7, Yi 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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