By Arun C. Murthy, Vinod Kumar Vavilapalli, Doug Eadline, Joseph Niemiec, Jeff Markham

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Additional info for Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2 (Addison-Wesley Data & Analytics Series)

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This step was done by making the taskcontroller first change the permissions from the TaskTracker to the user, and then letting the task run. Any files that needed to be read by the TaskTracker after the task finished had to have been created with appropriate permissions by the tasks. Authentication and Access Control As Hadoop managed more tenants, diverse use-cases, and raw data, its requirements for isolation became more stringent. Unfortunately, the system lacked strong, scalable authentication and an authorization model—a critical feature for multitenant clusters.

Requirement 2] Serviceability: The next-generation compute platform should enable evolution of cluster software to be completely decoupled from users’ applications. [Requirement 3] Multitenancy: The next-generation compute platform should support multiple tenants to coexist on the same cluster and enable finegrained sharing of individual nodes among different tenants. [Requirement 4] Locality Awareness: The next-generation compute platform should support locality awareness—moving computation to the data is a major win for many applications.

Distribution of Hadoop Software When provisioning Hadoop, HOD could either use a preinstalled Hadoop instance on the cluster nodes or request HOD to distribute and install a Hadoop tarball as part of the provisioning operation. This was especially useful in a development environment where individual developers might have different versions of Hadoop to test on the same shared cluster. Configuration HOD provided a very convenient mechanism to configure both the boot-up HOD software itself and the Hadoop daemons that it provisioned.

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Apache Hadoop YARN: Moving beyond MapReduce and Batch by Arun C. Murthy, Vinod Kumar Vavilapalli, Doug Eadline,
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