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Difference between revisions of "Ceilometer/AlarmEvaluatorJuno"

(Statistics over sliding windows)
(Statistics over sliding windows)
 
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===Map-reduce approach===
 
===Map-reduce approach===
[[File:EvaluatorMapReduce.png|framed|left|Map reduce approach]]
+
[[File:EvaluatorMapReduce.png]]
 +
<br/><br/><br/><br/>
  
 +
===Increment/decrement approach===
 +
[[File:EvaluatorIncDecrement.png]]
 +
<br/>
  
 
===Increment/decrement approach===
 
[[File:EvaluatorIncDecrement.png|framed|left|Increment Decrement approach]]
 
[[File:Rr|framed|left|rr]]
 
 
Statistics where increments/decrements are possible:  
 
Statistics where increments/decrements are possible:  
 
* count,  
 
* count,  

Latest revision as of 19:11, 16 May 2014

Statistics over sliding windows

Two approaches to improve the alarm evaluator were discussed at the summit.

Map-reduce approach

EvaluatorMapReduce.png



Increment/decrement approach

EvaluatorIncDecrement.png

Statistics where increments/decrements are possible:

  • count,
  • sum,
  • average,
  • stddev

Statistics with special implementation:

  • min/max : needs O(log n) space (probably in DB), where n = window size
  • percentile : classical statistics query
  • cardinality : approximate algorithm, extremely efficient

Map-reduce approach covers all these statistics.