Advances, Systems and Applications
From: Source camera identification: a distributed computing approach using Hadoop
Configuration name | Default value (MB) | Details |
---|---|---|
yarn.scheduler.minimum-allocation-mb | 32 | Minimum resource allocation for every container. |
yarn.scheduler.maximum-allocation-mb | 11,520 | Maximum resource allocation for every container |
yarn.nodemanager.resource.memory-mb | 11,520 | Total amount of resource that can be allocated for the containers |
mapreduce.map.memory.mb | 1440 | The amount of memory for each map task. |
mapreduce.map.java.opts | -Xmx1152m | Maximum JVM heap memory for map task. |
mapreduce.reduce.memory.mb | 2880 | The amount of memory for each reduce task. |
mapreduce.reduce.java.opts | -Xmx2304m | Maximum JVM heap memory for reduce task. |
yarn.app.mapreduce.am.resource.mb | 2880 | The memory allocation for MapReduce Application Master. |