System and method for adaptive configuration of software based on current and historical data

• US 9,703,607 B2
• Filed: 10/29/2015
• Issued: 07/11/2017
• Est. Priority Date: 09/18/2015
• Status: Active Grant

• Current Assignee: Wipro Limited
• Original Assignee: Wipro Limited
• Inventors: Muthuvaradharajan, Chandramohan
• Primary Examiner(s): Sun, Charlie
• Application Number:
  US14/926,439
• Publication Number:
  US 20170083377A1
• Time in Patent Office: 621 Days
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 11/142 Reconfiguring to eliminate the error group management mechanisms in a peer-to-peer network H04L67/1044
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 9/5038 considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration scheduling strategies G06F9/4881 and subgroups

Abstract

This disclosure relates to systems and methods for adaptive configuration of software based on current and historical data. In one embodiment, a method is disclosed, which comprises receiving first data that reflects a first status of an execution of a software task. The method further comprises determining, based on the first data, a first set of configurations to be provided for the execution of the software task, wherein each configuration of the first set of configurations is associated with a weight that reflects a statistic measurement of a prior status of an execution of the software task when the configuration is provided, and wherein the first set of configurations are ranked based on the weights. The method also comprises providing, based on the ranking, at least one of the first set of configurations for the execution of the software task.

Claims

1. A computer-implemented method of adaptive software execution, comprising:

steps to improve performance of a computer system that executes a plurality of software tasks by;

receiving, by one or more hardware processors, first data that reflect a first status of a first execution of a software task from the plurality of software tasks;

determining, by the one or more hardware processors based on the first data, a first set of configurations for the first execution of the software task, the first set of configurations including a first configuration associated with a first weight and a second configuration associated with a second weight;

wherein the first weight and the second weight reflect, respectively, a status of a prior execution of the software task with the first configuration and the second configuration, and wherein the first set of configurations are ranked based on the first weight and the second weight;

determining a sequence of executions of the software task with the first configuration and the second configuration based on the first weight and the second weight;

performing, by the one or more hardware processors, the first execution of the software task with the first configuration according to the sequence;

receiving, by the one or more hardware processors, second data that reflect a second status of the first execution of the software task with the first configuration;

determining, by the one or more hardware processors based on the second data, whether to perform a second execution of the software task with the second configuration according to the sequence; and

updating the first weight based on the second data.

2. The method of claim 1, wherein the first set of configurations is included in a plurality of sets of configurations including a second set of configurations.

3. The method of claim 2, further comprising:

determining, by the one or more hardware processors based on an updated first weight, a third configuration from the second set of configurations; and

performing, by the one or more hardware processors, a third execution of the software task with the third configuration.

4. The method of claim 2, wherein each of the plurality of sets of configurations is also associated with a weight;

wherein the first set of configurations is determined based on the weight associated with the first set of configurations.

5. The method of claim 1, wherein each of the first weight and the second weight is associated with a timestamp that indicates a time when the each of the first weight and the second weight is updated.

6. The method of claim 5 wherein a determination of performing the first execution with the first configuration is based on the first weight, and a relationship between the timestamp associated with the first weight and a current time.

7. The method of claim 1, wherein if each of the first weight and the second weight associated with the first set of configurations is equal, the at least one configuration of the first set of configurations is provided for the first execution based on a result of a random function.

8. A system of adaptive software execution, comprising:

one or more hardware processors; and

one or more memory units storing instructions executable by the one or more hardware processors to perform a set of steps to improve performance of a computer system that executes a plurality of software tasks by;

receiving, by one or more hardware processors, first data that reflect a first status of a first execution of a software task from the plurality of software tasks;

determining, by the one or more hardware processors based on the first data, a first set of configurations for the first execution of the software task, the first set of configurations including a first configuration associated with a first weight and a second configuration associated with a second weight;

wherein the first weight and the second weight reflect, respectively, a status of a prior execution of the software task with the first configuration and the second configuration, and wherein the first set of configurations are ranked based on the first weight and the second weight;

determining a sequence of executions of the software task with the first configuration and the second configuration based on the first weight and the second weight;

performing, by the one or more hardware processors, the first execution of the software task with the first configuration according to the sequence;

receiving, by the one or more hardware processors, second data that reflect a second status of the first execution of the software task with the first configuration;

determining, by the one or more hardware processors based on the second data, whether to perform a second execution of the software task with the second configuration according to the sequence; and

updating the first weight based on the second data.

9. The system of claim 8, wherein the first set of configurations is included in a plurality of sets of configurations including a second set of configurations.

10. The system of claim 9, further storing the instructions to perform the set of steps to improve performance of the computer system that executes the plurality of software tasks by:

determining, based on the updated first weight, a third configuration from the second set of configurations; and

performing a third execution of the software task with the third configuration.

11. The system of claim 8, wherein each of the first weight and the second weight is associated with a timestamp that indicates a time when the each of the first weight and the second weight is stored or updated.

12. The system of claim 11, wherein a determination of performing the first execution with the first configuration is based on the first weight, and a relationship between the timestamp associated with the first weight and a current time.

13. The system of claim 8, wherein if each of the first weight and the second weight associated with the first set of configurations is equal, at least one configuration of the first set of configurations is provided for the first execution based on a result of a random function.

14. The system of claim 8, wherein each of the plurality of sets of configurations is also associated with a weight;

wherein the first set of configurations is determined based on the weight associated with the first set of configurations.

16. The medium of claim 13, wherein the first set of configurations is included in a plurality of sets of configurations including a second set of configurations.

17. The medium of claim 16, wherein the method further comprises:

determining, based on a updated first weight, a third configuration from the second set of configurations; and

performing a third execution of the software task with the third configuration.

18. The medium of claim 16, wherein each of the plurality of sets of configurations is also associated with a weight;

wherein the first set of configurations is determined based on the weight associated with the first set of configurations.

19. The medium of claim 13, wherein each of the first weight and the second weight is associated with a timestamp that indicates a time when the each of the first weight and the second weight is updated.

20. The medium of claim 18, wherein a determination of performing the first execution with the first configuration is based on the first weight, and a relationship between the timestamp associated with the first weight and a current time.

21. The medium of claim 13, wherein if each of the first weight and the second weight associated with the first set of configurations is equal, at least one configuration of the first set of configurations is provided for the first execution based on a result of a random function.

15. A non-transitory computer-readable medium storing computer-executable instructions to implement a method of adaptive software execution, the method comprising:

steps to improve performance of a computer system that executes a plurality of software tasks by;

receiving, by one or more hardware processors, first data that reflect a first status of a first execution of a software task from the plurality of software tasks;

determining, by the one or more hardware processors based on the first data, a first set of configurations for the first execution of the software task, the first set of configurations including a first configuration associated with a first weight and a second configuration associated with a second weight;

wherein the first weight and the second weight reflect, respectively, a status of a prior execution of the software task with the first configuration and the second configuration, and wherein the first set of configurations are ranked based on the first weight and the second weight;

determining a sequence of executions of the software task with the first configuration and the second configuration based on the first weight and the second weight;

performing, by the one or more hardware processors, the first execution of the software task with the first configuration according to the sequence;

receiving, by the one or more hardware processors, second data that reflect a second status of the first execution of the software task with the first configuration;

determining, by the one or more hardware processors based on the second data, whether to perform a second execution of the software task with the second configuration according to the sequence; and

updating the first weight based on the second data.