Quest Software Inc.

Sawan Goyal

Michel Albert Brisebois

Curtis T Johnstone

GuangNing Hu

In one embodiment, a method includes identifying virtual meetings previously mediated by one or more communications platforms. The method further includes determining attributes of the virtual meetings. In addition, the method includes collecting time-indexed performance data of individual media streams of the virtual meetings. The method also includes individually correlating the time-indexed performance data to at least a portion of the attributes of the virtual meetings on a per virtual-meeting basis. Further, the method includes selecting one or more virtual-meeting attributes. Also, the method includes extracting multi-stream performance data of those of the individual media streams that have the one or more virtual-meeting attributes. Additionally, the method includes correlating the multi-stream performance data to a time map. The method further includes determining aggregate multi-stream performance. Moreover, the method includes generating a time-based performance pattern.

Systems and methods for multi-stream performance patternization and optimization of virtual meetings

In one embodiment, a method includes receiving a future virtual-meeting time interval and a set of virtual-meeting attributes in relation to a future virtual meeting. The method also includes correlating the future virtual-meeting time interval to at least one recurring time interval of a time map. In addition, the method includes retrieving a time-based performance pattern. The method further includes determining, from the time-based performance pattern, a stream quality for the virtual-meeting attributes at the at least one recurring time interval. In addition, the method includes publishing information related to the determined stream quality to a requestor.

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

In one embodiment, a method includes retrieving a time-based performance pattern of virtual meetings previously mediated by a communications platform executing in a computing environment, wherein the computing environment comprises a plurality of resources. The method further includes determining, from the time-based performance pattern, at least one virtual-meeting attribute associated with relatively poor virtual-meeting performance. Also, the method includes determining a performance relationship between the at least one virtual-meeting attribute and a particular resource of the computing environment. In addition, the method includes generalizing the performance relationship to overall, non-meeting-specific performance of the particular resource.

Systems and methods of diagnosing down-layer performance problems via multi-stream performance patternization

In one embodiment, a method is performed by a computer system. The method includes accessing information related to enterprise usage of a plurality of network-accessible peripheral devices and identifying, from the information, discrete content-imaging events that occurred on the plurality of network-accessible peripheral devices. In addition, the method includes determining particular users associated with the discrete content-imaging events on a per-event basis and determining particular content to which the discrete content-imaging events relate on a per-event basis. Further, the method includes abstracting correlated data related to the discrete content-imaging events into a standardized format, the correlated data comprising data related to the particular users and the particular content, the standardized format enabling expression of the discrete content-imaging events by user and by type of content-imaging activity.

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Kanata, Canada

Sawan Goyal