Dandrea,

I believe that MVEL has just got stable for JDK1.4 so we should be doing an M1 release which is much much much faster than 3.0.x - it should be backards compatible, any chance you could re-run those tests when M1 is out?

Thanks

Mark
Dandrea Francesco wrote:
Hi all,
I have to evaluate if JBoss Rules is a viable solution in this scenario:
We have to monitor a large network using performance alarms. These alarms arrive every 15 minutes. We don't know the real rate, but peaks of many tens of thousands of alarms every 15 minutes must be managed in a timely way.
We want to use JBoss Rules to correlate these alarms, in order to show less higher level  alarms to the users .
We have basically 2 use cases:
1) I have to correlate the alarms on a single node of the network. (for example in node A I have 2 alarms of different severity about the connection with node B, so I aggregate everything in a third alarm saying "I cannot connect to node B from node A"). In this scenario I have many workingMemories (one for each node) and not so many facts for each working memory. The performance of JBossRules is very very good (almost linear with the number of nodes)
2) I have to correlate alarms among the nodes. (for example all nodes connecting with a node A have an alarm "I cannot connect to node A from node ...", I want to create an alarm "The node A is unreachable").
In this scenario I'm very worried about the performance of JBoss Rules, as I prepared a test case (in attachment) and I inferred that the growth is highly non linear on the number of the facts. Is this performance data wrong? Am I doing something stupid? Can someone comment?
 
Here are the numbers (The numbers are not so important, but rate they grows is)
 
Number of Facts Time to assert alla the new allarms (seconds) Time to modify the alarms to close them (seconds) Total
1000 1.735 0.969 2.704
2000 5.875 3.000 8.875
3000 12.281 6.406 18.687
4000 23.672 11.672 35.344
6000 52.282 23.250 75.532
8000 87.188 42.532 129.720
12000 200.767 94.642 295.409
16000 360.909 176.579 537.488
20000 518.019 263.158 781.177
 
Or in a graph:
 
 
Thanks a lot for your interest.
 
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