Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system, method, and computer-readable medium are disclosed for performing distributed analytics using a metadata encoded decision engine. More specifically, the operation of performing distributed analytics combines metadata encoding of input expectations for models with a multi-tier decision engine. In certain embodiments, the multi-tier decision engine provides arbitrary responses to input failures, including data dropping, routing to additional models, signaling, data conditioning, and even updating of the model parameters themselves. The combination of the processing model, the data input validation, and the decision engine improves the operation of a distributed data processing environment which is focused on predictive and reactive analysis of edge processing data.

Abstract: 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.

Abstract: A system, method, and computer-readable medium for performing a virtual organization operation for generating a virtual organization hierarchy that is based upon influence within an organization. More specifically, in certain embodiments, the operation generates a virtual organizational hierarchy that contains individuals, roles, contact information, responsibilities, estimates of purchasing authority, and other influential values. In certain embodiments, the virtual organization operation includes templates for virtual organizations of differing types to provide the capacity for handling differences in organizational structures like not-for-profits or educational establishments.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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).