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From "Pete Wyckoff (JIRA)" <j...@apache.org>
Subject [jira] Created: (HADOOP-1301) resource management proviosioning for Hadoop
Date Fri, 27 Apr 2007 20:42:15 GMT
resource management proviosioning for Hadoop

                 Key: HADOOP-1301
                 URL: https://issues.apache.org/jira/browse/HADOOP-1301
             Project: Hadoop
          Issue Type: New Feature
          Components: contrib/hbase
            Reporter: Pete Wyckoff
            Priority: Minor

The Hadoop On Demand (HOD) project addresses the provisioning and managing of MapReduce instances
on cluster resources. With HOD, the MapReduce user interacts with the cluster solely through
a self-service interface and the JT, TT info ports. The user never needs to log into the cluster
or even have an account on the cluster for that matter. HOD allocates nodes, provisions MapReduce
(and optionally HDFS) on the cluster and when the user is done with MapReduce jobs, cleanly
shuts down MapReduce and de-allocates the nodes (i.e., re-introducing them to the pool of
available resources in the cluster).

Using HOD, a cluster can be shared among different users in a fair and efficient manner. HOD
is not a replacement or re-implementation of a traditional resource manager. HOD is implemented
using the resource manager paradigm and at present is envisioned supporting Torque and Condor
out of the box. It also supports "static" resources, i.e., a dedicated set of resources not
using a resource manager.

HOD is also self provisioning and, thus, can be used on systems such as EC2 or a campus cluster
not already running MapReduce software or a resouce manager. Figure 1 depicts a cluster using
HOD. As the figure shows, the user never logs into the cluster itself. The user's jobs run
as the 'hod' user (a configurable unix id).

The user interacts with MapReduce and the cluster using the hod shell, hodsh. Once in the
hodsh, the user can allocate/de-allocate nodes and automatically run JT, TTs, NN, DNs on those
nodes without knowing the specifics of which nodes are running which or logging into any of
those boxes. HOD transparently masks failures by allocating nodes to replace failed nodes.
Once the user has allocated nodes, she can run /bin/MapReduce my1.jar and then /bin/MapReduce
my2.jar ... from within the hod shell which automatically generates the configuration file
for the MapReduce script. When done, the user will exit the shell.

The hod shell has an automatic timeout so that users cannot hog resources they aren't using.
The timeout applies only when there is no MapReduce job running. In addition, hod also has
the option of tracking and enforcing user/group resource limits.

Optionally, HOD can run dedicated log and directory services in the cluster. The log services
are a central repository for collecting and retrieving Hadoop logs for any given job. The
directory service provides an easy way to inspect what's running in the cluster or for the
end user and html interfacing for getting to their JT and TT info ports. 

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