Any framework for real-time correlation/analysis of event-stream (aka CEP) in Erlang?

Question

Would like to analyze a stream of events, sharing certain characteristics (s.a. a common source), and within a given time-window, ultimately to correlate those multiple events and draw some inference from same, and finally launch some action.

My limited knowledge of Complex-Event-Processing (CEP) tells me that, it is the ideal candidate for such things. However in my research so far I found people compare that with Rule-Engines, and Bayesian Classifier, and sometimes using a combination of those.

Wanted to know if there are --

1. some best-practices (ideally supported by performance data, and description of nature/type of events) to be followed, especially so in Erlang ?

2. does Erlang have a CEP framework of it's own ?

3. any Bayesian Classifier library available in Erlang ?

Esper from Java world seems to be quite close to what I'd like to do, but I'd prefer to keep my environment Erlang-only (or Erlang and C/C++ only) if possible.

Pointers, advice, guidance -- all welcome.

thanks,

IC

Answer 1

This appears to be under active development:

https://github.com/vascokk/rivus_cep