International Business Machines Corporation

Ravindra R Sure

Sasikanth Eda

Kailash N Marthi

Waiman Chan

David Paul Brelsford

Stephen Craig Hughes

Sukumar Vankadhara

Samrat P Kannikar

A computational device configures a storage system that supports a plurality of submission queues. A file system monitors characteristics of received writes to distribute the writes among the plurality of submission queues. The computational device categorizes the writes into full track writes, medium track writes, and small track writes, measures a frequency of different categories of writes determined based on the categorization of the writes, and generates arbitrations of the writes with varying priorities for distributing the writes for processing in the submission queues. A full track write includes writing incoming data blocks of the writes received to a fresh track, in response to a total size of the incoming data blocks being equal to or more than a size of one full track. A medium track write includes overwriting an existing data track. A small track write includes staging the incoming data blocks to a caching storage.

File system operations for a storage supporting a plurality of submission queues

The present invention employs a master node for each job to be scheduled and in turn the master node distributes job start information and executable tasks to a plurality of nodes configured in a hierarchical node tree of a multinode job scheduling system. The status of the various tasks executing at the leaf nodes and other nodes of the tree report status back up the same hierarchical tree structure used to start the job, not to a scheduling agent but rather to the master node which has been established by the scheduling agent as the focal point, not only for job starting, but also for the reporting of status information from the leaf and other nodes in the tree.

Dynamic allocation and partitioning of compute nodes in hierarchical job scheduling

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Poughkeepsie, NY, United States of America

Ravindra R Sure