Invention Grant
- Patent Title: Self-learning rate access prioritizer for applications in a wireless network
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Application No.: US16424684Application Date: 2019-05-29
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Publication No.: US11202301B2Publication Date: 2021-12-14
- Inventor: Hardik Sanghavi , Mahesh Dantakale , Santosh Jayawadagi
- Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Applicant Address: US TX Houston
- Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee Address: US TX Houston
- Agency: Nolte Lackenbach Siegel
- Main IPC: H04L12/26
- IPC: H04L12/26 ; H04W72/10 ; H04W24/08

Abstract:
A self-learning rate access prioritizer for high-priority applications in a wireless network is provided herein. The self-learning rate access prioritizer includes a method of assigning an application rate limiter for each high-priority network software application. The method further includes employing an assigned application rate limiter to determine the present bandwidth for a first high-priority network software application. Next, the method includes re-provisioning bandwidth to the first high-priority network software application in response to a ratio of a first bandwidth of the first high-priority network software application and a provisioned bandwidth for the first high-priority network software application. Furthermore, the method includes re-provisioning bandwidth from the first high-priority network software application in response to the ratio being less than a low utilization ratio assigned to the first high-priority network software application. In addition, the method includes iterating for each active high-priority network software application on a network.
Public/Granted literature
- US20200383121A1 SELF-LEARNING RATE ACCESS PRIORITIZER FOR APPLICATIONS IN A WIRELESS NETWORK Public/Granted day:2020-12-03
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