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Folks,
I developed a fault-tolerant (99.999% uptime) and infinitely scalable
poker server based on technology that telcos use to build their 911
telephone switches.
I built a cluster that can be reconfigured on the fly with new nodes
or machines added or taken away at any time. I'm interested in
applying the same technology to real-time trading systems and
backends. Can you recommend a niche?
The technology is the Erlang/OTP (Open Telecom Platform), more on it
at http://www.erlang.org. It has been developed for soft real-time
systems and have been used successfully for a few years. Fault-
tolerance, fail-over, take-over is built right into the platform and
concurrent processing is one of its strengths.
Erlang comes with a real-time replicating in-memory database called
Mnesia. It was originally designed for real-time call billing and the
maximum size of the database is 4Gb. It can be written to disk on one
or more nodes in a cluster and is kept in-memory on all others.
Changes are propagaged in real-time on all nodes and fault-tolerance
is built in. The database will recover itself after a crash and new
nodes coming online will automatically receive the latest copy.
There are many situations where Erlang can be useful. Say you have
multiple brokers to route orders to and that you normally prefer one
over the other. You can automatically reroute your trades to a
different broker when loosing connection to the first one.
You can have stand-by trading apps (processes) that take over failed
ones so that you don't loose opportunities and money.
Processes within Erlang are very lightweight so you can afford to
model your trading systems in a concurrent fashion, doing things on
every tick, etc.
Erlang is particularly suitable for writing network servers, proxies,
protocol converters, etc. I'm thinking of real-time data feeds,
automated and program trading but will apreciate any advice and
suggestions.
Thanks, Joel
--
http://wagerlabs.com/tech
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