Disney Enterprises, Inc.

Jeffrey M Jordan

Jonathan Geibel

Scott Lane Burris

Kevin Christopher Constantine

Scott A Erickson

Henry Allen Driskill

Thomas Charles Greer

William Rothe

A batch scheduler receives a task. Further, a processor, at the batch scheduler, generates a virtual machine corresponding to the task. In addition, the virtual machine is deployed from the batch scheduler to a compute node. The task is also dispatched from the batch scheduler to the virtual machine at the compute node.

Batch scheduler management of virtual machines

A server receives a first set of file activity data from a first file monitor. The first set of file activity data indicates activity associated with a first set of files accessed at a first compute node in communication with a network. Further, the server receives a second set of file activity data from a second file monitor. The second set of file activity data indicates activity associated with a second set of files accessed at a second compute node in communication with the network. In addition, the server aggregates the first set of file activity data and the second set of file activity data into an aggregated set of network file activity data.

File monitoring

A request from a client to perform a task is received. The client has a predetermined limit of compute resources. The task is dispatched from a batch scheduler to a compute node as a non-speculative task if a quantity of compute resources is available at the compute node to process the task, and the quantity of compute resources in addition to a total quantity of compute resources being utilized by the client is less than or equal to the predetermined limit, such that the non-speculative task is processed without being preempted by an additional task requested by an additional client. The task is dispatched, from the batch scheduler to the compute node, as a speculative task if the quantity of compute resources is available to process the task, and the quantity of compute resources in addition to the total quantity of compute resources is greater than the predetermined limit.

Batch scheduler management of speculative and non-speculative tasks based on conditions of tasks and compute resources

There is provided a method for optimizing a data backup. The method comprising determining a backup project size, the backup project size identifying the quantity of data to be backed up; detecting available recording devices for transferring the data backup to storage media; receiving an input corresponding to at least one user specified optimization variable, wherein the at least one user specified optimization variable comprises an upper limit on the length of each of the calculated plurality of data streams; utilizing the at least one user specified optimization variable to calculate a plurality of data streams for performing the data backup; and assigning subsets of the plurality of data streams to the available recording devices to optimize the data backup.

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Valley Village, CA, United States of America

Jeffrey M Jordan