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From "He Tianyi (JIRA)" <j...@apache.org>
Subject [jira] [Created] (YARN-6101) Delay scheduling for node resource balance
Date Tue, 17 Jan 2017 09:07:26 GMT
He Tianyi created YARN-6101:

             Summary: Delay scheduling for node resource balance
                 Key: YARN-6101
                 URL: https://issues.apache.org/jira/browse/YARN-6101
             Project: Hadoop YARN
          Issue Type: Improvement
          Components: fairscheduler
            Reporter: He Tianyi
            Priority: Minor

We observed that, in today's cluster, usage of Spark has dramatically increased. 
This introduced a new issue that CPU/MEM utilization for single node may become imbalanced
due to Spark is generally more memory intensive. For example, after a node with capability
(48 cores, 192 GB memory) cannot satisfy a (1 core, 2 GB memory) request if current used resource
is (20 cores, 190 GB memory), with plenty of total available resource across the whole cluster.
A thought for avoiding the situation is to introduce some strategy during scheduling.
This JIRA proposes a delay-scheduling-alike approach to achieve better balance between different
type of resources on each node.
The basic idea is consider dominant resource for each node, and when a scheduling opportunity
on a particular node is offered to a resource request, better make sure the allocation is
changing dominant resource of the node, or, in worst case, allocate at once when number of
offered scheduling opportunities exceeds a certain number.
With YARN SLS and a simulation file with hybrid workload (MR+Spark), the approach improved
cluster resource usage by nearly 5%. And after deployed to production, we observed a 8% improvement.

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