Difference between revisions of "Ceilometer/AlarmEvaluatorJuno"
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===Map-reduce approach=== | ===Map-reduce approach=== | ||
| − | [[File:EvaluatorMapReduce.png| | + | [[File:EvaluatorMapReduce.png|thumbnail|Map reduce approach]] |
===Increment/decrement approach=== | ===Increment/decrement approach=== | ||
| − | [[File:EvaluatorIncDecrement.png| | + | [[File:EvaluatorIncDecrement.png|thumbnail|Increment Decrement approach]] |
Statistics where increments/decrements are possible: | Statistics where increments/decrements are possible: | ||
Revision as of 19:05, 16 May 2014
Statistics over sliding windows
Two approaches to improve the alarm evaluator were discussed at the summit.
Map-reduce approach
Increment/decrement approach
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.
