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Posted to mapreduce-dev@hadoop.apache.org by "Scott Chen (JIRA)" <ji...@apache.org> on 2010/04/28 22:43:48 UTC
[jira] Created: (MAPREDUCE-1739) Collecting CPU and memory usage
for MapReduce jobs
Collecting CPU and memory usage for MapReduce jobs
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Key: MAPREDUCE-1739
URL: https://issues.apache.org/jira/browse/MAPREDUCE-1739
Project: Hadoop Map/Reduce
Issue Type: New Feature
Reporter: Scott Chen
Assignee: Scott Chen
MAPREDUCE-220 collects CPU and memory usage for each task.
We can aggregate them to get the information per job. Such information can be used for scheduling, profiling or charging the users based on the resource they consumed.
Here are some information that should be useful:
1. Total CPU cycles (# of giga-cycles)
2. Total Memory occupied time (GB-sec)
3. Maximum peak memory on one task (GB)
4. Maximum peak CPU on one task (GHz)
Thoughts?
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