Dell Products Inc.

Quest Software Inc.

Shree A Dandekar

Yuan-Chang Lo

David Konetski

Alan E Beelitz

Kenneth Wade Stufflebeam

Bogdan Odulinski

Mark William Davis

Paul J Maia

Alok Pant

Gary Joseph Verdun

Roy William Stedman

Clint H O'Connor

Gary Douglas Huber

Pratik Mukundray Mehta

William Allen Curtis

Thomas P Lanzoni

David W Douglas

Subramanian Jayaram

Gaston M Barajas

Abhinav Gupta

Joe Edgar Goodart

Alan Eric Sicher

James W Clardy

Reva Tolliver

Michael K Padilla

Kevin A Kettler

Munish Gupta

Sowmya Swaminathan

Richard C Lawrence

Neeraj Srivastava

Liam B Quinn

Frank Howard Molsberry

Michael Haze

Jeffrey Vernon Ford

John J Hawk

David Joseph Zavelson

Jeremy R Ziegler

Christopher W Ramirez

Kevin Enders

James A Howell, Jr

Roger Borchers

Tad S Goodwin

Susan Bales Anderson

Gregory Dvorak

Olga Lyudovyk

Dongxia Chen

Keisha Daruvalla

Brian Melinat

Guhan Palaniandavan

A protected stream manager includes one or more subsystems to receive a content stream in a virtual environment, obfuscate the content stream, and prioritize use of a processor to process the content stream.

Protected information stream allocation using a virtualized platform

In an embodiment, a method includes receiving, from a data source, time-series data of a time-series data stream produced by the data source. The method further includes identifying a target compression algorithm for the time-series data, wherein the target compression algorithm is linked to the data source in memory pursuant to a dynamically-variable assignment. The method also includes compressing the time-series data using the target compression algorithm and transmitting the compressed time-series data to a destination. Furthermore the method includes periodically optimizing the dynamically-variable assignment in real-time as the time-series data is received.

Systems and methods for dynamic compression of time-series data

A system, method, and computer-readable medium for performing a dynamic data index restructure operation. The dynamic data index restructure operation restructures the data indexes within a business intelligence architecture based on usage patterns so as to support queries most likely to be generated by users of the business intelligence architecture. In certain embodiments, the dynamic data index restructure operation is performed via a dynamic data index restructure agent which may be positioned between a business intelligence application and the business intelligence database.

Dynamically optimizing data access patterns using predictive crowdsourcing

A client hosted virtualization system (CHVS) includes a processor to execute code, a component, and a non-volatile memory. The non volatile memory includes BIOS code and code to implement a virtualization manager. The virtualization manager is operable to initialize the CHVS, launch a virtual machine on the CHVS, and assign the component to the virtual machine, such that the virtual machine has control of the component. The CHVS is configurable to execute the BIOS and not the virtualization manager, or to execute the virtualization manager and not the BIOS.

System and method for pre-boot authentication of a secure client hosted virtualization in an information handling system

A method and system are disclosed for providing near-real-time actionable insights associated with user interactions within a social media environment. A first and second set of social media data, respectively associated with a first and second set of social media interactions, are processed to generate a first and second set of Social Network Advocacy Pulse (SNAP) data in near-real-time. The resulting first and second sets of SNAP data are then processed to generate a first and second set of actionable insight data, which respectively indicate a near-real-time measurement of sentiment and advocacy related to a predetermined business aspect. The first and second sets of social pricing index data are then processed to generate a set of actionable insight differential data, which indicates a corresponding improvement or decline in sentiment or advocacy related to the business aspect.

Method and apparatus to create a mash-up of social media data and business data to derive actionable insights for the business

In one embodiment, a method includes receiving a request to execute a database statement in satisfaction of a time constraint. The method further includes determining a pattern of the database statement. Additionally, the method includes comparing the pattern to pattern metadata associated with cached samples of the distributed database. Also, the method includes, responsive to a determination that the comparing has resulted in one or more matches, selecting a target sample and causing the database statement to be executed on the target sample. The method further includes, responsive to a determination that the target sample resolves the database statement in satisfaction of the time constraint, returning a resulting dataset to a requestor. Moreover, the method includes, responsive to a determination that the target sample does not resolve the database statement in satisfaction of the time constraint, causing a new real-time sampling of the distributed database to be executed.

Systems and methods for optimized database sampling

A system, method, and computer-readable medium for performing ambiguous utterances identification operations by extrapolating statements of the utterance using machine learning based linguistic analysis. More specifically, in certain embodiments, the ambiguous utterances identification operations are performed by generating an ambiguous utterance repository that is indexed by and contains individuals, regions, tweets, blogs, and latest trends. This ambiguous utterance repository is then linked to a lexicon engine that stores linguistic semantics for particular demographics. The ambiguous utterances identification operations also can capture the latest trends in ambiguous utterances occurring happening in certain demographics.

Method and apparatus to extrapolate sarcasm and irony using multi-dimensional machine learning based linguistic analysis

A client hosted virtualization system (CHVS) includes a processor to execute code, a security processor, a component that includes a certificate, and a non-volatile memory. The non-volatile memory includes BIOS code for the CHVS and virtualization manager code to initialize the CHVS, launch a virtual machine on the CHVS, and authenticate the component with the security processor by determining that the certificate is valid. The CHVS is configurable to execute the first code and not the second code, or to execute the second code and not the first code.

System and method for component authentication of a secure client hosted virtualization in an information handling system

A method and system are disclosed for providing a near-real-time measurement of sentiment and advocacy associated with user interactions within a social media environment. A first and second set of social media data, respectively associated with a first and second set of social media interactions, are processed to generate a first and second set of social network advocacy (SNA) data in near-real-time. The resulting first and second sets of SNA data are then processed to generate a first and second set of SNA Pulse (SNAP) metric data, which respectively indicate a near-real-time measurement of sentiment and advocacy for a given aspect of an organization. The first and second sets of SNAP metric data are then processed to generate a set of SNAP metrics differential data, which indicates a corresponding improvement or decline in sentiment or advocacy.

Method and apparatus to calculate real-time customer satisfaction and loyalty metric using social media analytics

A client hosted virtualization system includes a full volume encryption (FVE) storage device, a processor, and non-volatile memory with BIOS code and virtualization manager code. The virtualization manager initializes the client hosted virtualization system, authenticates a virtual machine image, launches the virtual machine based on the image, receives a transaction from the virtual machine targeted to the FVE storage device, sends the transaction to the FVE storage device, receives a response from the FVE storage device, and sends the first response to the first virtual machine. The client hosted virtualization system is configurable to execute the BIOS or the virtualization manager.

System and method for supporting full volume encryption devices in a client hosted virtualization system

A simple to customize secure IT infrastructure architecture. The IT infrastructure architecture includes a secure general purpose virtualized architecture platform. The IT infrastructure architecture is well suited for delivering simple pre-packaged software solutions to the small business segment as plug and play type appliances. In certain embodiments, the IT infrastructure architecture includes a secure virtual appliance device such as a virtual appliance universal serial bus (USB) key. The IT infrastructure architecture uses embedded server virtualization technology to host applications as a virtual appliance.

Method and apparatus for a virtual machine hosting network with user devices

A client hosted virtualization system (CHVS) has a non-volatile memory that includes BIOS code and virtualization manager code that operates to initialize the CHVS and to launch a virtual machine. The CHVS establishes a secure communication channel with a client update system via a network interface, receives an update to the virtualization manager code, authenticates the update and overwrites the non-volatile memory with the update. The CHVS is configurable to execute the BIOS and not virtualization manager, or to execute the virtualization manager and not the BIOS.

System and method for implementing a secure client hosted virtualization service layer in an information handling system

A virtualized, general-purpose computer or consumer electronics (CE) device is provided with and hosts a plug-in module for securely accessing various content services. These modules are referred to as content personalization portable on demand storage units (content personalization PODs).

Virtualization based conditional access tuner module for providing secure linear and non-linear content services

An information handling system is provided with an intelligent boot service which addresses and resolves unbootable system scenarios. The intelligent boot service detects and corrects adverse events before booting into the operating system. The intelligent boot service architecture is extensible to add newer events and is extensible to include extensible firmware interface (EFI) technology.

Intelligent boot services

Growing community of inventors

Cedar Park, TX, United States of America

Shree A Dandekar