Systems and methods for remote collaboration
Described herein are systems and methods for work from home solutions according to various embodiments of the invention. These solutions accurately diagnose connectivity issue locations and severity from any, some, or all points in a network framework. Embodiments of these solutions may also use artificial intelligence and machine learning to process customer quality-of-experience (QoE) feedback and other relevant indicators. The solutions may improve network connectivity based on these measurements and processes.
1. A method for improving remote collaboration, the method comprising:
receiving QoE data from at least one of a user or an application;
receiving data comprising user preference data and at least one of operational data or performance data;
providing the data to a quality of experience (QoE) estimator model to obtain estimated QoE data;
using the estimated QoE data and the data to determine a correlation between the data and QoE data; and
using the correlation to adjust at least one of network or application parameters to improve at least one of a network performance or a QoE performance.
2. The method according to claim 1 , wherein the data has been collected by at least one of a software agent or a server.
3. The method according to claim 2 , wherein the collected data comprises quality of service (QoS) data.
4. The method according to claim 3 , wherein the QoS data has been collected by using a real-time control protocol.
5. The method according to claim 3 , wherein the at least one of the software agent or the server analyzes the collected data to obtain analyzed data and uses the analyzed data to control one or more network parameters.
6. The method according to claim 5 , wherein controlling the one or more network parameters comprises prioritizing one of an application or a device.
7. The method according to claim 2 , wherein the data comprises feedback data that has been collected by the software agent or the server.
8. The method according to claim 7 , wherein the feedback data has been collected from an application.
9. The method according to claim 1 , wherein the user preference data comprises user feedback data.
10. The method according to claim 1 , wherein the QoE estimator model has been trained to generate estimated QoE data from QoS data.
11. A system for improving remote collaboration, the system comprising:
a processor; and
a non-transitory computer-readable medium comprising instructions that, when executed by the processor, cause steps to be performed, the steps comprising:
receiving QoE data from at least one of a user or an application;
receiving data comprising user preference data and at least one of operational data or performance data;
providing the data to a quality of experience (QoE) estimator model to obtain estimated QoE data;
using the estimated QoE data and the data to determine a correlation between the data and QoE data; and
using the correlation to adjust at least one of network or application parameters to improve at least one of a network performance or a QoE performance.
12. The system according to claim 11 , wherein the data has been collected by at least one of a software agent or a server.
13. The system according to claim 12 , wherein the collected data comprises quality of service (QoS) data.
14. The system according to claim 13 , wherein the QoS data has been collected by using a real-time control protocol.
15. The system according to claim 13 , wherein the server analyzes the collected data to obtain analyzed data and uses the analyzed data to control one or more network parameters.
16. The system according to claim 15 , wherein controlling the one or more network parameters comprises prioritizing one of an application or a device.
17. The system according to claim 12 , wherein the data comprises feedback data that has been collected by the software agent or the server.
18. The system according to claim 17 , wherein the feedback data has been collected from an application.
19. The method according to claim 11 , wherein the QoE estimator model has been trained to generate estimated QoE data from QoS data.