View source for 18500280. SYSTEMS AND METHODS FOR CONTROL OF APPLICATIONS BASED ON QUALITY OF SERVICE MONITORING simplified abstract (Verizon Patent and Licensing Inc.)

=SYSTEMS AND METHODS FOR CONTROL OF APPLICATIONS BASED ON QUALITY OF SERVICE MONITORING=


==Organization Name==

[[:Category:Verizon Patent and Licensing Inc.|Verizon Patent and Licensing Inc.]]


[[Category:Verizon Patent and Licensing Inc.]]

==Inventor(s)==

[[:Category:David Damin Liu of Livermore CA (US)|David Damin Liu of Livermore CA (US)]][[Category:David Damin Liu of Livermore CA (US)]]

[[:Category:Rishi Tandon of Gurugram (IN)|Rishi Tandon of Gurugram (IN)]][[Category:Rishi Tandon of Gurugram (IN)]]

[[:Category:Kristen Sydney Young of Mine Hill NJ (US)|Kristen Sydney Young of Mine Hill NJ (US)]][[Category:Kristen Sydney Young of Mine Hill NJ (US)]]

[[:Category:Yueping Zhang of Princeton NJ (US)|Yueping Zhang of Princeton NJ (US)]][[Category:Yueping Zhang of Princeton NJ (US)]]

==SYSTEMS AND METHODS FOR CONTROL OF APPLICATIONS BASED ON QUALITY OF SERVICE MONITORING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18500280 titled 'SYSTEMS AND METHODS FOR CONTROL OF APPLICATIONS BASED ON QUALITY OF SERVICE MONITORING

==Simplified Explanation==

The patent application describes a device that can analyze network data to calculate service level agreement scores for network devices and generate quality of service configuration data based on these scores.

* The device receives network data including network device topology, QoS rules for user equipment and application flows, RAN QoS profiles, and SDF templates.
* It processes the network data using a model to calculate SLA scores for each network device on a sliding window.
* The device aggregates the network device SLA scores to generate an end-to-end SLA score on the sliding window.
* Based on the end-to-end SLA score, the device generates QoS configuration data and implements it.

== Potential Applications ==
This technology could be applied in:
* Network management systems
* Telecommunication companies
* Cloud service providers

== Problems Solved ==
This technology helps in:
* Improving network performance
* Ensuring quality of service for users
* Optimizing resource allocation

== Benefits ==
The benefits of this technology include:
* Enhanced network reliability
* Efficient utilization of network resources
* Improved user experience

== Potential Commercial Applications ==
A potential commercial application of this technology could be in:
* Network monitoring and optimization software

== Possible Prior Art ==
One possible prior art for this technology could be:
* Network monitoring tools that provide SLA analysis and QoS configuration. 

=== What are the specific steps involved in calculating the network device SLA scores?
To calculate the network device SLA scores, the device processes the network data using a model, calculates the SLA score for each network device on a sliding window, and aggregates these scores to generate an end-to-end SLA score.

=== How does the device generate QoS configuration data based on the end-to-end SLA score?
The device generates QoS configuration data based on the end-to-end SLA score by analyzing the calculated scores and determining the appropriate QoS settings for the network devices to meet the desired service level agreements.


==Original Abstract Submitted==

A device may receive network data identifying a topology of network devices of a network, quality of service (QoS) rules for user equipment (UEs) and application flows associated with the network, QoS profiles for a radio access network (RAN) of the network, and service data flow (SDF) templates. The device may process the network data, with a model, to calculate a network device service level agreement (SLA) score, for each of the network devices on a sliding window, to generate network device SLA scores, and may aggregate the network device SLA scores to generate an end-to-end SLA score on the sliding window. The device may generate QoS configuration data based on the end-to-end SLA score, and may implement the QoS configuration data.



[[Category:H04L41/5003]]
[[Category:H04L41/0823]]