Media quality prediction for collaboration services

• US 10,225,313 B2
• Filed: 07/28/2017
• Issued: 03/05/2019
• Est. Priority Date: 07/25/2017
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Arunachalam, Chidambaram, Salgueiro, Gonzalo, Nainar, Nagendra Kumar, Chen, Eric, Griffin, Keith
• Primary Examiner(s): Tieu, Binh Kien
• Application Number:
  US15/663,658
• Publication Number:
  US 20190037002A1
• Time in Patent Office: 585 Days
• Field of Search: 379 101, 379 9, 379 902, 379 904, 379 1501, 379 1503, 379 1505, 379 22, 379 2203, 379 23, 379 2701, 379 28, 379 2909, 379 291, 379 3201, 379 3205, 379 104, 379 3204
• CPC Class Codes: H04L 41/06 Management of faults, events, alarms or notifications
• CPC Class Codes: H04L 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 43/062 related to network traffic
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 43/0829 Packet loss
• CPC Class Codes: H04L 43/0852 Delays
• CPC Class Codes: H04L 43/10 Active monitoring, e.g. heartbeat, ping or trace-route
• CPC Class Codes: H04L 47/82 Miscellaneous aspects
• CPC Class Codes: H04L 47/83 based on usage prediction
• CPC Class Codes: H04L 65/102 Gateways arrangements for connecting between networks having differing types of switching systems, e.g. gateways, H04L12/66
• CPC Class Codes: H04L 65/1023 Media gateways
• CPC Class Codes: H04L 65/403 Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15
• CPC Class Codes: H04L 65/80 Responding to QoS
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/75 Indicating network or usage conditions on the user display
• CPC Class Codes: H04M 2203/556 Statistical analysis and interpretation
• CPC Class Codes: H04M 3/2218 : Call detail recording
• CPC Class Codes: H04M 3/2227 : Quality of service monitoring
• CPC Class Codes: H04M 7/0027 : Collaboration services where a computer is used for data transfer and the telephone is used for telephonic communication
• CPC Class Codes: H04M 7/006 : Networks other than PSTN/ISDN providing telephone service, e.g. Voice over Internet Protocol (VoIP) , including next generation networks with a packet-switched transport layer H04L65/00 takes precedence; aspects not specific to the type of network H04M3/00; special services in those networks H04M3/42
• CPC Class Codes: H04M 7/1285 : Details of finding and selecting a gateway for a particular call
• CPC Class Codes: H04Q 2213/13514 : quality of service - inc. grade of service

Abstract

Disclosed is a system, method and computer readable medium enabling collaboration service providers to more accurately predict packet loss, jitter and delay based on current session, historical session and user location parameters. The prediction can be used to forecast the occurrence of poor media quality at the current location and potential future locations.

Claims

1. A computer-implemented method for predicting media quality, the method comprising:

receiving an indication for an initiation of a collaborative virtual meeting;

determining a current location and destination of a client device;

retrieving historical network metrics data and real-time network metrics data, the real-time network metrics data including day of week and current time;

determining possible degradation in media quality of the collaborative virtual meeting for the current location and the destination based on the historical network metrics data and the real-time network metrics data; and

notifying the client device of the possible degradation.

2. The computer-implemented method of claim 1, wherein the historical network metrics data includes location, destination, the day of the week, device type, meeting time, connectivity type, and host cluster.

3. The computer-implemented method of claim 1, wherein the real-time network metrics data further includes;

device type, connectivity type, and host cluster.

4. The computer-implemented method of claim 1, further comprising:

determining possible degradation along one or more routes between the current location and the destination; and

notifying the client device on possible degradation along the one or more routes.

5. The computer-implemented method of claim 4, further comprising:

providing a recommended route with the least possible degradation.

6. The computer-implemented method of claim 1, wherein the notifying includes:

displaying on the client device a map illustrating the currently location and destination; and

displaying alerts on the map corresponding to the notifications of possible degradation.

7. The computer-implemented method of claim 6, further comprising:

displaying the alerts along one or more routes from the current location to the destination; and

highlighting a route of the one or more mutes with least degradation.

13. The system of claim 6, further comprising instructions which when executed by the processor, causes the processor to:

display on the client device a map illustrating the currently location and destination; and

display alerts on the map corresponding to the notifications of possible degradation.

14. The system of claim 13, further comprising instructions which when executed by the processor, causes the processor to:

determine one or more routes from the current location to the destination;

display the alerts along the one or more routes; and

highlight a route of the one or more routes with least degradation.

8. A system comprising:

a processor; and

a memory storing instructions which when executed by the processor, causes the processor to;

receive an indication for an initiation of a collaborative virtual meeting;

determine a current location and destination of a client device;

retrieve historical network metrics data and real-time network metrics data, the real-time network metrics data including day of week and current time;

determine possible degradation in media quality of the collaborative virtual meeting for the current location and the destination based on the historical network metrics data and the real-time network metrics data; and

notify the client device of the possible degradation.

9. The system of claim 8, wherein the historical network metrics data includes location, destination, the day of the week, device type, meeting time, connectivity type, and host cluster.

10. The system of claim 8, wherein the real-time network metrics data further includes:

device type, connectivity type, and host cluster.

11. The system of claim 8, further comprising instructions which when executed by the processor, causes the processor to:

determine possible degradation along one or more routes between the current location and the destination; and

notify the client device on the possible degradation along the one or more routes.

12. The system of claim 11, further comprising instructions which when executed by the processor, causes the processor to:

provide a recommended route with the least possible degradation.

15. A non-transitory computer-readable medium storing instructions which when executed by a processor, causes the processor to:

receive an indication for an initiation of a collaborative virtual meeting;

determine a current location and destination of a client device;

retrieve historical network metrics data and real-time network metrics data, the real-time network metrics data including day of week and current time;

determine possible degradation in media quality of the collaborative virtual meeting for the current location and the destination based on the historical network metrics data and the real-time network metrics data; and

notify the client device of the possible degradation.

16. The non-transitory computer-readable medium of claim 15, wherein the historical network metrics data includes location, destination, day of the week, device type, meeting time, connectivity type, and host cluster.

17. The non-transitory computer-readable medium of claim 15, wherein the real-time network metrics data further includes:

device type, connectivity type, and host cluster.

18. The non-transitory computer-readable medium of claim 15, further comprising instructions which when executed by the processor, causes the processor to:

determine possible degradation along one or more routes between the current location and the destination; and

notify the client device on possible degradation along the one or more routes.

19. The non-transitory computer-readable medium of claim 18, further comprising instructions which when executed by the processor, causes the processor to:

provide a recommended route with the least possible degradation.

20. The non-transitory computer-readable medium of claim 15, further comprising instructions which when executed by the processor, causes the processor to:

display on the client device a map illustrating the currently location and destination; and

display alerts on the map corresponding to the notifications of possible degradation.