Dynamic definition for concurrent computing environments

• US 9,871,697 B2
• Filed: 08/05/2016
• Issued: 01/16/2018
• Est. Priority Date: 11/10/2005
• Status: Active Grant

• Current Assignee: The MathWorks, Inc.
• Original Assignee: The MathWorks, Inc.
• Inventors: Stefansson, Halldor Narfi, Chan, Elwin Yam Ming, O'Callaghan, Portia, Dean, Loren P.
• Primary Examiner(s): Lai, Andrew
• Assistant Examiner(s): Nguyen, Chuong M
• Application Number:
  US15/229,791
• Publication Number:
  US 20170033991A1
• Time in Patent Office: 529 Days
• CPC Class Codes: G06F 9/44505 Configuring for program initiating, e.g. using registry, configuration files
• CPC Class Codes: H04L 41/00 Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
• CPC Class Codes: H04L 41/0813 characterised by the conditions triggering a change of settings
• CPC Class Codes: H04L 61/30 Managing network names, e.g. use of aliases or nicknames name-to-address mapping H04L61/45
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416

Abstract

Exemplary embodiments allow a user to create configurations for use in distributed computing environments. Configurations can be arranged in hierarchies in which elements of the hierarchy can inherit characteristics from elements in other layers of the hierarchy. Embodiments also allow a user to flatten a hierarchical configuration to remove hierarchical dependencies and/or inheriting capabilities of elements in the hierarchy. Exemplary embodiments further allow users to deploy a distributed computing configuration on their desktop to evaluate performance of the configuration and then deploy the configuration in a distributed computing environment without having to change programming code run on the desktop/distributed computing environment.

Claims

1. A method comprising:

determining, by an executable process implemented on one or more processors, whether a configuration argument is present,

the configuration argument being associated with a job or a task to be performed,

the configuration argument comprising information for configuring a cluster environment for executing code, and

the executing code performing the job or task;

configuring, by the executable process implemented on the one or more processors, the cluster environment based on the configuration argument for executing the code in the cluster environment, the configuring comprising;

submitting, by the executable process implemented on the one or more processors and when the configuration argument is present, the code for performing the job or the task to the cluster environment for execution without requiring modifying the code prior to executing; and

executing, locally by the executable process implemented on the one or more processors, the code for performing the job or task, when the configuration argument is not present.

2. The method of claim 1, where the cluster environment includes concurrent computing processors that do not include the one or more processors.

3. The method of claim 1, where the configuration argument includes a configuration name and information for setting up the cluster environment for executing the code.

4. The method of claim 1, where the cluster environment includes a plurality of computing resources separate from the one or more processors.

5. The method of claim 1, where the configuration argument represents a configuration of configurable properties for the cluster environment.

6. The method of claim 1, where the cluster environment is configured to perform batch jobs.

7. The method of claim 1, where determining whether the configuration argument is present includes:

determining whether the configuration argument is present in code for the job or the task.

8. A device comprising:

one or more processors, implementing an executable process, to;

determine whether a configuration argument is present,

the configuration argument being associated with a job or a task to be performed, and

the configuration argument comprising information for configuring a cluster environment for executing code;

configure the cluster environment based on the configuration argument for executing the code in the duster environment,

the one or more processors, when configuring the cluster environment, are to submit, by the executable process implemented on the one or more processors and when the configuration argument is present, the code for performing the job or the task to the cluster environment for execution without requiring modifying the code prior to executing; and

execute, locally by the executable process implemented on the one or more processors, the code for performing the job or task, when the configuration argument is not present.

9. The device of claim 8, where the cluster environment includes concurrent computing processors that do not include the one or more processors.

10. The device of claim 8, where the configuration argument includes a configuration name and information for setting up the cluster environment for executing the code.

11. The device of claim 8, where the cluster environment includes a plurality of computing resources separate from the one or more processors.

12. The device of claim 8, where the configuration argument represents a configuration of configurable properties for the cluster environment.

13. The device of claim 8, where the cluster environment is configured to perform batch jobs.

14. The device of claim 8, where the one or more processors, when determining whether the configuration argument is present, are to:

determine whether the configuration argument is present in code for the job or the task.

15. A non-transitory computer-readable medium for storing instructions, the instructions comprising:

a plurality of instructions that, when executed by one or more processors, cause the one or more processors to;

determine whether a configuration argument is present,

the configuration argument being associated with a job or a task to he performed, and

the configuration argument comprising information for configuring a cluster environment for executing code;

configure the cluster environment based on the configuration argument for executing the code in the cluster environment,

the plurality of instructions, that cause the one or more processors to configure the cluster environment, cause the one or more processors to submit, by an executable process implemented on the one or more processors and when the configuration argument is present, the code for performing the job or the task to the cluster environment for execution without requiring modifying the code prior to executing; and

execute, locally by the executable process implemented on the one or more processors, the code for performing the job or task, when the configuration argument is not present.

16. The non-transitory computer-readable medium of claim 15, where the cluster environment includes concurrent computing processors that do not include the one or more processors.

17. The non-transitory computer-readable medium of claim 15, where the configuration argument includes a configuration name and information for setting up the cluster environment for executing the code.

18. The non-transitory computer-readable medium of claim 15, where the cluster environment includes a plurality of computing resources separate from the one or more processors.

19. The non-transitory computer-readable medium of claim 15, where the configuration argument represents a configuration of configurable properties for the cluster environment.

20. The non-transitory computer-readable medium of claim 15, where the cluster environment is configured to perform batch jobs.