Systems and methods for multi-stream performance patternization and interval-based prediction

1. A method comprising, by a computer system:

receiving, in relation to a future virtual meeting, a future virtual-meeting time interval and an identification of a plurality of virtual-meeting participants;

extracting multi-stream performance data related to virtual meetings having at least one virtual-meeting participant of the plurality of virtual-meeting participants;

correlating the extracted multi-stream performance data to a plurality of recurring time intervals;

determining aggregate multi-stream performance data in relation to the plurality of recurring time intervals, wherein the aggregate multi-stream performance data comprises stream-quality metrics for a plurality of communications platforms;

generating a time-based performance pattern based, at least in part, on the determining;

correlating the future virtual-meeting time interval to at least one recurring time interval of the time-based performance pattern;

determining, from the time-based performance pattern, a stream quality for each of the plurality of virtual-meeting participants at the at least one recurring time interval;

determining, for the future virtual-meeting time interval, a communications platform from the plurality of communication platforms for which a stream-quality threshold is exceeded for each of the plurality of virtual-meeting participants;

responsive to the determining, facilitating scheduling of the future virtual meeting on the communications platform at the future virtual-meeting time interval; and

executing the future virtual meeting on the communications platform at the future virtual-meeting time interval.

2. The method of claim 1 , comprising:

receiving a set of virtual-meeting attributes in relation to a specific user; and

generating a specific time-based performance pattern of the specific user based, at least in part, on the determined aggregate multi-stream performance data in relation to the plurality of recurring time intervals.

3. The method of claim 2 , wherein the stream quality is determined, for the specific user, from the specific time-based performance pattern of the specific user.

4. The method of claim 2 , comprising:

determining media-stream quality of at least selected recurring time intervals based, at least in part, on the specific time-based performance pattern of the specific user; and

publishing comparative media-stream quality information, the comparative media-stream quality information comprising the determined media-stream quality of each of the at least selected recurring time intervals.

5. The method of claim 2 , comprising:

identifying, from the specific time-based performance pattern of the specific user, one or more locations of comparatively high stream quality relative to other locations; and

publishing information related to the one or more locations to a requestor.

6. The method of claim 2 , comprising:

determining, from the specific time-based performance pattern of the specific user, a media-stream quality at a plurality of locations; and

publishing comparative location information, the comparative location information comprising information related to the determined media-stream quality at each of the plurality of locations.

7. The method of claim 2 , comprising:

determining a specific communications platform for a specific user for the future virtual meeting based, at least in part, on an analysis of the specific time-based performance pattern of the specific user.

8. The method of claim 1 , comprising:

identifying based, at least in part, on the time-based performance pattern, one or more recurring time intervals that each have a comparatively high stream quality; and

publishing information related to suggested meeting times, the information related to suggested meeting times comprising information related to the one or more recurring time intervals.

9. The method of claim 1 , wherein the multi-stream performance data represents an assessment of at least one of a quality of a particular live media stream, a particular live media session, and a particular stream of a particular user.

10. An information handling system comprising a hardware processor, wherein the hardware processor is operable to implement a method comprising:

receiving, in relation to a future virtual meeting, a future virtual-meeting time interval and an identification of a plurality of virtual-meeting participants;

extracting multi-stream performance data related to virtual meetings having at least one virtual-meeting participant of the plurality of virtual-meeting participants;

correlating the extracted multi-stream performance data to a plurality of recurring time intervals;

determining aggregate multi-stream performance data in relation to the plurality of recurring time intervals, wherein the aggregate multi-stream performance data comprises stream-quality metrics for a plurality of communications platforms;

generating a time-based performance pattern based, at least in part, on the determining;

correlating the future virtual-meeting time interval to at least one recurring time interval of the time-based performance pattern;

determining, from the time-based performance pattern, a stream quality for each of the plurality of virtual-meeting participants at the at least one recurring time interval;

determining, for the future virtual-meeting time interval, a communications platform from the plurality of communication platforms for which a stream-quality threshold is exceeded for each of the plurality of virtual-meeting participants;

responsive to the determining, facilitating scheduling of the future virtual meeting on the communications platform at the future virtual-meeting time interval; and

executing the future virtual meeting on the communications platform at the future virtual-meeting time interval.

11. The information handling system of claim 10 , wherein the method comprises:

receiving a set of virtual-meeting attributes in relation to a specific user; and

generating a specific time-based performance pattern of the specific user based, at least in part, on the determined aggregate multi-stream performance data in relation to the plurality of recurring time intervals.

12. The information handling system of claim 11 , wherein the stream quality is determined, for the specific user, from the specific time-based performance pattern of the specific user.

13. The information handling system of claim 11 , wherein the method comprises:

determining media-stream quality of at least selected recurring time intervals based, at least in part, on the specific time-based performance pattern of the specific user; and

publishing comparative media-stream quality information, the comparative media-stream quality information comprising the determined media-stream quality of each of the at least selected recurring time intervals.

14. The information handling system of claim 11 , wherein the method comprises:

identifying, from the specific time-based performance pattern of the specific user, one or more locations of comparatively high stream quality relative to other locations; and

publishing information related to the one or more locations to a requestor.

15. The information handling system of claim 11 , wherein the method comprises:

determining, from the specific time-based performance pattern of the specific user, a media-stream quality at a plurality of locations; and

publishing comparative location information, the comparative location information comprising information related to the determined media-stream quality at each of the plurality of locations.

16. The information handling system of claim 11 , wherein the method comprises:

determining a specific communications platform for a specific user for the future virtual meeting based, at least in part, on an analysis of the specific time-based performance pattern of the specific user.

17. The information handling system of claim 10 , wherein the method comprises:

identifying based, at least in part, on the time-based performance pattern, one or more recurring time intervals that each have a comparatively high stream quality; and

publishing information related to suggested meeting times, the information related to suggested meeting times comprising information related to the one or more recurring time intervals.

18. The information handling system of claim 10 , wherein the multi-stream performance data represents an assessment of at least one of a quality of a particular live media stream, a particular live media session, and a particular stream of a particular user.

19. A computer-program product comprising a non-transitory computer-usable medium having computer-readable program code embodied therein, the computer-readable program code adapted to be executed to implement a method comprising:

receiving, in relation to a future virtual meeting, a future virtual-meeting time interval and an identification of a plurality of virtual-meeting participants;

extracting multi-stream performance data related to virtual meetings having at least one virtual-meeting participant of the plurality of virtual-meeting participants;

correlating the extracted multi-stream performance data to a plurality of recurring time intervals;

determining aggregate multi-stream performance data in relation to the plurality of recurring time intervals, wherein the aggregate multi-stream performance data comprises stream-quality metrics for a plurality of communications platforms;

generating a time-based performance pattern based, at least in part, on the determining;

correlating the future virtual-meeting time interval to at least one recurring time interval of the time-based performance pattern;

determining, from the time-based performance pattern, a stream quality for each of the plurality of virtual-meeting participants at the at least one recurring time interval;

determining, for the future virtual-meeting time interval, a communications platform from the plurality of communication platforms for which a stream-quality threshold is exceeded for each of the plurality of virtual-meeting participants;

responsive to the determining, facilitating scheduling of the future virtual meeting on the communications platform at the future virtual-meeting time interval; and

executing the future virtual meeting on the communications platform at the future virtual-meeting time interval.

20. The computer-program product of claim 19 , wherein the method comprises:

receiving a set of virtual-meeting attributes in relation to a specific user; and

generating a specific time-based performance pattern of the specific user based, at least in part, on the determined aggregate multi-stream performance data in relation to the plurality of recurring time intervals.