NON-PRIMARY FUNCTIONALITY EXECUTIONS

• US 20200137629A1
• Filed: 10/26/2018
• Published: 04/30/2020
• Est. Priority Date: 10/26/2018
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Inventors: Granier, Florent, Ayotte, Eddie, Seelos, Dominik
• Granted Patent: US 10,820,234 B2
• Time in Patent Office: Days
• CPC Class Codes: H04W 16/18 Network planning tools
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 28/0861 between base stations
• CPC Class Codes: H04W 84/12 WLAN [Wireless Local Area Networks]
• CPC Class Codes: H04W 88/08 Access point devices
• CPC Class Codes: H04W 88/12 Access point controller devices

Abstract

An example of a system may include a controller, communicatively connected to an access point (AP), including a processing resource and a memory resource storing instructions executable by the processing resource to: identify an unused portion of a computational capacity of the access point when the access point is executing a primary functionality of the access point; allocate an amount of the unused portion of the computational capacity of the access point to execute a first portion of a non-primary data mining functionality distinct from the primary functionality of the access point; and adjust the amount of the unused portion of the computational capacity allocated to the execution of the non-primary data mining functionality based on a change in network traffic associated with the access point.

Claims

1. A system, comprising:

a controller, communicatively connected to an access point, including;

a processing resource; and

a memory resource storing instructions executable by the processing resource to;

identify an unused portion of a computational capacity of the access point when the access point is executing a primary functionality of the access point;

allocate an amount of the unused portion of the computational capacity of the access point to execute a first portion of a non-primary data mining functionality distinct from the primary functionality of the access point; and

adjust the amount of the unused portion of the computational capacity allocated to the execution of the non-primary data mining functionality based on a change in network traffic associated with the access point

2. The system of claim 1, wherein the primary functionality of the access point is providing client devices wireless network access to the computing network.

3. The system of claim 1, wherein a primary functionality of the controller is to manage the access point.

4. The system of claim 3, the memory resource storing instructions executable to allocate an amount of an unused portion of a computational capacity of the controller when the controller is executing the primary functionality of the controller to execution of a second portion of the non-primary data mining functionality.

5. The system of claim 1, wherein the non-primary data mining functionality of the access point is assigned a lower execution priority than an execution priority of the primary functionality of the access point.

6. The system of claim 1, the memory resource storing instructions executable to cap a total amount of the computational capacity of the access point that is available to be utilized during execution of the non-primary data mining functionality.

7. The system of claim 6, the memory resource storing instructions executable to decrease the amount of the unused portion of the computational capacity of the access point allocated to the non-primary data mining functionality when the capped total amount is exceeded.

8. The system of claim 1, the memory resource storing instructions executable to reallocate the amount of the unused portion of the computational capacity of the access point, previously allocated to the execution of the non-primary data mining functionality, to the execution of the primary functionality of the access point in response to a completion of the execution of the non-primary data mining functionality.

9. The system of claim 1, the memory resource storing instructions executable to identify the unused portion of the computational capacity of the access point when the access point is executing the primary functionality of the access point based on a central processing unit (CPU) utilization measurement reported from the access point to the controller concurrent with the execution of the primary functionality by the access point.

10. The system of claim 1, the memory resource storing instructions executable to identify the amount of the unused portion of the computational capacity of the access point allocated to the execution of the first portion of the non-primary data mining functionality based on network traffic on the computing network.

11. A non-transitory machine-readable medium storing instructions executable by a processing resource to:

identify an unused portion of a computational capacity of each access point of a plurality of access points providing wireless access to a computing network;

determine an amount of the unused portion of the computational capacity of each access point available to be allocated to an execution of non-primary data mining task based on computing network traffic at each of the access points; and

distribute execution of the non-primary data mining task among the plurality of access points on the computing network based on the determined amount of the unused portion of the computational capacity of each access point of the plurality of access points.

12. The non-transitory machine-readable medium of claim 11, further comprising instructions executable by the processing resource to assign a reserve amount of the unused portion of the computational capacity of each access point of the plurality of access points to accommodate additional network traffic.

13. The non-transitory machine-readable medium of claim 11, further comprising instructions to redistribute the execution of the non-primary data mining functionality in response to changes in the computing network traffic utilizing at least one of the access points of the plurality of access points.

14. The non-transitory machine-readable medium of claim 11, further comprising instructions to determine the non-primary data mining task from a configuration file executed by a wireless network controller managing the plurality of access points on the computing network.

15. The non-transitory machine-readable medium of claim 11, further comprising instructions to monitor the central processing resource usage by each of the access points to identify the unused portion of the computational capacity of each access point of the plurality of access points.

16. A method, comprising:

determining an amount of a computational capacity at each access point (AP) of a plurality of APs connected to a computing network that remains unutilized in providing wireless network access to wireless clients;

distributing an execution of a non-primary data mining functionality among the plurality of APs based on the unutilized amount of the computational capacity at each AP of the plurality of APs;

monitoring a wireless traffic load on each AP of the plurality of APs; and

redistributing the execution of the non-primary data mining functionality based on the monitored wireless traffic load.

17. The method of claim 16, further comprising executing, at an AP of the plurality of APs, a portion of the non-primary data mining functionality distributed to the AP while the AP continues to provide wireless network access to corresponding wireless clients.

18. The method of claim 16, further comprising determining an amount of the unutilized computational capacity of each access point of the plurality of access points to reserve to provide additional wireless network access to wireless clients based on a schedule corresponding to historical wireless traffic loads on the computing network.

19. The method of claim 16, further comprising:

detecting an integration of an additional AP to the computing network;

determining a computational load on the additional AP; and

redistributing the execution of the non-primary data mining functionality among the plurality of APs, including the additional AP, based on the detected integration and determined computational load on the additional AP.

20. The method of claim 16, further comprising discontinuing execution of the non-primary data mining functionality at an AP of the plurality of APs in response to an indication of an increased wireless traffic load at the AP.