Wikipedia defines the goal of CEP as 'respond to them (events) as quickly
as possible' . So i think there is an direct link to 'streaming', when we
say CEP.
However pattern matching at its core applies even on historical data.
thanks
Mario
----- Message from Esa Heikkinen <esa.heikki...@student.tut.fi> on Wed, 27
Apr 2016 12:40:52 +0300 -----
To: user@spark.apache.org
Subject: Re: Spark support for Complex Event
Processing (CEP)
Hi
I have followed with interest the discussion about CEP and Spark. It is
quite close to my research, which is a complex analyzing for log files
and "history" data (not actually for real time streams).
I have few questions:
1) Is CEP only for (real time) stream data and not for "history" data?
2) Is it possible to search "backward" (upstream) by CEP with given time
window? If a start time of the time window is earlier than the current
stream time.
3) Do you know any good tools or softwares for "CEP's" using for log data ?
4) Do you know any good (scientific) papers i should read about CEP ?
Regards
PhD student at Tampere University of Technology, Finland, www.tut.fi
Esa Heikkinen
