Quest Software Inc.

Dell Software Inc.

Dell Products Inc.

Michel Albert Brisebois

Curtis T Johnstone

Jason Aylesworth

Elena V Vinogradov

Olivier Le Rudulier

Stephen Pope

Andrew John Leach

Abel Tegegne

Sawan Goyal

Joel Stacy Blaiberg

Shawn Donald Holmesdale

GuangNing Hu

Vineetha Abraham

Guangning Hu

Mary Cindy Ah Kioon

Catherine Helbig Dibble

Tomas Willis

Guoxiong Wu

Xuejun Situ

Daniel Rex Barker

Lijun Qian

Christopher Macdonald

Xiang Chen

Artem Nikolaevich Polikarpov

Liang Gong

Andrew J Leach

Benjamin Gribbin

Trapti Purohit

Mikhail Anatolievich Plavskiy

Zhiguo Huang

Marina Goldchtein

Nicolae Anca

Peizhen Tian

Yuan Liang

Methods and information handling systems for managing at least one of storage of data to or access to data from a plurality of cloud storage drives coupled to user devices over a network. An information handling system includes a processing device and a memory that stores one or more program modules executable by the processing device to receive a request to store data from a user device, the request may lack information pertaining to where to store the data, to determine which of the cloud drives of the plurality of cloud drives will store the data in and to save the data to the cloud drive based on the determination.

Access to disparate cloud services

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 is performed by a computer system. The method includes receiving base attribute values of a registrant device. The method further includes determining similarities of the base attribute values to a reference string to yield base similarity values. The method also includes registering the registrant device for policy enforcement using the base similarity values. Furthermore, the method includes, responsive to a trigger, determining target attribute values of a target device. Also, the method includes determining similarities of the target attribute values to the reference string to yield target similarity values. Moreover, the method includes, responsive to the target similarity values satisfying a similarity threshold in relation to the base similarity values, configuring policy enforcement such that the target device is treated as the registrant device.

Systems and methods for secure device management

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

The present disclosure provides for information handling systems and methods to configure and manage any number of heterogeneous devices. In various embodiments, a shared device configuration is simultaneously applied to a selected group of otherwise incompatible heterogeneous devices that may use different communication protocols and operating systems. Certain embodiments create and maintain a database of configuration and operational information that is accessible across platforms. A group device configuration may be automatically applied to all devices in the selected group via a batch command. Some embodiments allow independent heterogeneous devices that have similar functionality to have different device configuration settings.

Cloud-based device configuration management of heterogeneous devices

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

A risk analysis system of associated with an enterprise system for determining delegation risks associated with assigning candidate individuals to perform various tasks. In some cases, the delegation risk analysis system may generate individual delegation risk scores to each candidate individual to assist in the delegation of tasks throughout an organization. In some examples, the delegation risk analysis system may determine the delegation risk scores based on context risk factors associated with the task and the individual and intrinsic delegation risk factors associated with the enterprise system.

Context-aware delegation risk system

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

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.

Growing community of inventors

Renfrew, Canada

Michel Albert Brisebois