Quest Software Inc.

Dell Software Inc.

Curtis T Johnstone

Michel Albert Brisebois

Jason Aylesworth

Elena V Vinogradov

Stephen Pope

Olivier Le Rudulier

Andrew John Leach

Sawan Goyal

Joel Stacy Blaiberg

Shawn Donald Holmesdale

Tomas Willis

GuangNing Hu

Guangning Hu

Catherine Helbig Dibble

Trapti Purohit

Marina Goldchtein

Christopher Macdonald

Artem Nikolaevich Polikarpov

Benjamin Gribbin

Andrew J Leach

Aspects of the present disclosure relate to systems and methods for multi-data source query implementation and aggregation. In embodiments, the query aggregation system comprises a data abstraction engine, a query controller or scheduler and an aggregator. In embodiments, the data abstraction engine normalizes data schemas from multiple data sources based on the parameter requirements. In embodiments, the query controller schedules and runs normalized queries against each data sources independently and securely. In embodiments, the aggregator collects and merges the aggregates of the results into a single analysis. In embodiments, the query aggregation system communicates to various data sources including enterprise data silo(s) and personal data silo(s) to send queries and receive query results. In embodiments, the query sent to each data source may be specialized or tailored for the specific requirement of the data source.

Symbiotic data insights from harmonized queries

In one embodiment, a method includes extracting a cross-platform data-collection schema based, at least in part, on information available via heterogeneous interfaces of a plurality of source platforms. The cross-platform data-collection schema identifies a plurality of collectable data points in relation to particular source platforms. The method further includes configuring a cross-platform data-collection schedule for the plurality of source platforms. The cross-platform data-collection schedule indicates a collected subset of the plurality of collectable data points in relation to collection frequencies. The method also includes causing data values for the collected subset to be collected on an ongoing basis as dictated by the cross-platform data-collection schedule. Furthermore, the method includes processing a proposed change to at least one of the collected subset and the collection frequencies. In addition, the method includes modifying the cross-platform data-collection schedule to reflect the proposed change.

Systems and methods for tuning cross-platform data collection

In one embodiment, a method includes selecting a set of logged user-initiated events of a user. The method further includes determining timing information, device-identification information, and user-location information for the set of logged user-initiated events. In addition, the method includes correlating the set of logged user-initiated events to recurring time intervals of a time map. Also, the method includes determining an overall density, a location-specific density, and a device-specific density of the set of logged user-initiated events for at least some recurring time intervals of the time map. Furthermore, the method includes generating a time-based activity pattern of the user, the time-based activity pattern comprising, for the at least some recurring time intervals of the time map, information related to the overall density, the location-specific density, and the device-specific density. In addition, the method includes publishing the time-based activity pattern to a scheduling interface.

Systems and methods of patternizing logged user-initiated events for scheduling functions

Systems and techniques to automatically delete emails from an inbox associated with an employee in an enterprise are described. A message lifecycle engine that interfaces with a corporate email system may select an inbox of an email client application. The message lifecycle engine may delete an email in the inbox based at least in part on: (i) one or more sender rules associated with the email; (ii) one or more system rules associated with an email system used by the enterprise; (iii) one or more user rules created based on an analysis of user behavior; and (iv) one or more data loss prevention (DLP) policies.

Electronic mail (email) message lifecycle management

In one embodiment, a method is performed by a computer system. The method includes receiving a request to authenticate a user of an enterprise computing system. The method further includes, responsive to the request, selecting a set of previous user-initiated events of the user on the enterprise computing platform. Further, the method includes accessing user-specific event information related to the selected set of previous user-initiated events. In addition, the method includes generating, from at least a portion of the user-specific event information, a user-specific authentication sequence comprising a plurality of event-information requests. Additionally, the method includes administering the user-specific authentication sequence to the user, the administering comprising requiring the user to provide a valid response to each of the event-information requests as a precondition to successful authentication.

Systems and methods for event-based authentication

A method for determining predictive response time for electronic mail across enterprise communication systems is described. In particular, the method includes collecting and subsequently analyzing communications of a particular recipient in order to determine a probability of a sender receiving a response from the recipient. In the event a response is probable, the method also determines a time frame when a response may be sent. In situations where the recipient is non-responsive, the method also provides a list of alternate recipients that the sender can communicate with, whereby the alternate recipients are more responsive than the original recipient.

Method for determining predictive response time across enterprise communication systems

A network-based solution that provides enhances management of migration and archiving operations may involve, as embodied in various systems, methods, and non-transitory computer-readable storage media, performing a pre-transfer assessment on each of a plurality of accessed mailboxes designated for migration or archiving. Performing the pre-transfer assessment may include designating one or more emails for exclusion from the migration or archiving operation after applying transferability rules and exception rules to each email message contained in the assessed mailbox. The solution may involve notifying the user about the email messages designated for exclusion and performing one or more user selected actions on the email message or related attachment files.

Enhanced management of migration and archiving operations

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

A system, method, and computer-readable medium for dynamically partitioning a directory list to limit recipients to an appropriate context. More specifically, in certain embodiments the dynamic partitioning includes a first component which describes a priori categories. In certain embodiments, the a priori categories could include 'inner circle' or 'trusted advisors' categories. Other categories could include &#x201c;friends of the DL&#x201d; who only want occasional but relevant messages. In certain embodiments, these categories are created by a DL owner. However, in certain embodiments, members (e.g., recipients) could also change their own category. For example, a DL could have categories: All, Required participants, FYI participants, Managers.

Dynamically partitioning a mailing list based on a-priori categories and contextual analysis

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 managing and controlling a plurality of data-access credentials. The method further includes accessing data from a plurality, of sources in a plurality of data formats. The accessing includes using one or more data-access credentials of the plurality of data-access credentials. The one or more data-access credentials are associated with at least a portion of the plurality of data sources. The method also includes abstracting the data into a standardized format for further analysis. The abstracting includes selecting the standardized format based on a type of the data. In addition, the method includes applying a security policy to the data. The applying includes identifying at least a portion of the data for exclusion from storage based on the security policy. Additionally, the method includes filtering from storage any data identified for exclusion. Further, the method includes storing the data in the standardized format.

System and method for data aggregation and analysis

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 receiving a request from a user to access particular content. The method further includes determining a trust measure of the user, wherein the trust measure is based, at least in part, on an analysis of logged user-initiated communication events of the user on a plurality of communications platforms. In addition, the method includes accessing a self-service access policy applicable to the particular content. Further, the method includes ascertaining, from the self-service access policy, a trust threshold applicable to the particular content. Moreover, the method includes, responsive to a determination that the trust measure fails to satisfy the trust threshold, automatically denying access by the user to the particular content.

Systems and methods of secure self-service access to content

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.

Systems and methods of securing network-accessible peripheral devices

In one embodiment, a method includes receiving a request from a user to access particular content. The method also includes determining at least one topic of the particular content. In addition, the method includes determining one or more need-to-access values for the user in relation to the particular content, wherein the one or more need-to-access values are based, at least on in part, on a comparison of the least one topic to one or more topics associated with logged user-initiated communication events of the user. Further, the method includes accessing a self-service access policy applicable to the particular content. Also, the method includes ascertaining, from the self-service access policy, need-to-access criteria applicable to the particular content. Additionally, the method includes, responsive to a determination that the one or more need-to-access values fail to satisfy the need-to-know criteria, denying access by the user to the particular content.

Growing community of inventors

Ottawa, Canada

Curtis T Johnstone