Sap Ag

Vce IP Holding Company LLC

Rama Krishna Gurram

Richard James Swan

Brian S Mo

Frances James

Christof Bornhoevd

Tao Lin

Jie Weng

Frankie James

Jeff Roelands

Krishna Kattumadam

Jiatai Wu

Aspects of the present disclosure involve a system architecture for a policy driven disk IO throughput control for a hyper-converged storage provider. The computing architecture provides a flexible and real-time feature to the IO throughput management of a hyper-converged or converged infrastructure. In particular, through the use of centrally applied policy driven controls, the disk IO throughput allocation of different applications/clients of the converged infrastructure is gauged or otherwise controlled over the network bandwidth that link to the storage pool of the infrastructure. Through the use of the system architecture, the converged infrastructure may not utilize hard-coded disk resource allocation for each application/client in an isolated fashion, thereby allowing the IO throughput management to be flexible and agile in response to executed applications. Further, the IP throughput controlling and storage IP capacity of the converged infrastructure may be maintained separately.

Systems and methods for policy driven storage in a hyper-convergence data center

One or more voice-enabled user interfaces include a user interface, and a voice extension module associated with the user interface. The voice extension module is configured to voice-enable the user interface and includes a speech recognition engine, a preprocessor, and an input handler. The preprocessor registers with the speech recognition engine one or more voice commands for signaling for execution of one or more semantic operations that may be performed using a first user interface. The input handler receives a first voice command and communicates with the preprocessor to execute a semantic operation that is indicated by the first voice command. The first voice command is one of the voice commands registered with the speech recognition engine by the preprocessor.

Controlling user interfaces with contextual voice commands

Systems, methods and computer program products for generic device integration within an auto-id system. The system includes an auto-id node operable to collect data emitted by one or more automatic data acquisition devices, process the data, and make the data available to one or more enterprise applications, user interfaces, or other auto-id nodes. The auto-id node includes a device integration layer that is operable to handle communication between the auto-id node and different types of automatic data acquisition devices, device controllers, or device management systems.

Generic device integration within an auto-id system

Systems, methods and computer program products, implementing techniques for automatic data acquisition and the real-time display of automatically acquired data. A system implementing the techniques includes one or more automatic data acquisition devices that emit data; and a data integration system that receives data from the automatic data acquisition devices and processes the data. The data integration system includes a display system for displaying the data to a user. The display system is operable to generate a graphical display and to update the graphical display automatically and only when new data from the automatic data acquisition devices is available. The display system is operable to update only affected parts of the graphical display but not necessarily the entire display.

Dynamic display of RFID and sensor data

Enhanced application of spoken input, in which a single, natural language voice command is accessed. Using a repository that associates multiple operations with natural language voice commands, multiple selected operations that correspond to the received single, natural language voice command are determined and applied to a user interface.

Enhanced application of spoken input

A voice-enabled user interface includes a first user interface. A voice extension module is associated with the first user interface and is configured to voice-enable the first user interface. The voice extension module includes a speech recognition engine, an XML configuration repository, a preprocessor, and an input handler. The XML configuration repository includes one or more XML files specifying one or more voice commands for signaling for execution of one or more semantic operations that may be performed using the first user interface. The preprocessor is configured to register with the speech recognition engine the one or more voice commands. The input handler is configured to receive a first voice command and to communicate with the preprocessor to execute a semantic operation from the one or more semantic operations that may be performed using the first user interface. The first voice command is one of the one or more voice commands registered with the speech recognition engine by the preprocessor, and the first voice command signals for execution of the semantic operation.

XML based architecture for controlling user interfaces with contextual voice commands

A system having multiple speech recognition engines, each operable to recognize spoken data, is described. A speech recognition engine manager detects the speech recognition engines, and selects at least one for recognizing spoken input from a user, via a user interface. In this way, a speech recognition engine that is particularly suited to a current environment may be selected. For example, a speech recognition engine that is particularly suited for, or preferred by, the user may be selected, or a speech recognition engine that is particularly suited for a particular type of interface, interface element, or application, may be selected. Multiple ones of the speech recognition engines may be selected and simultaneously maintained in an active state, by maintaining a session associated with each of the engines. Accordingly, users' experience with voice applications may be enhanced, and, in particular, users with physical disabilities may more easily interact with software applications.

Multiple speech recognition engines

A current state of an item being tracked by an item-tracking system may be determined using prior state information about the item. To ensure proper temporal order of the state information, software events triggered by physical events associated with the item are received from a reader at an event interpretation system. A database or queue within the event interpretation system holds the software events for a delay time determined by a maximum transmission delay time of the software events. A sorter within the event interpretation system orders the software events relative to one another so as to correspond to an order of the physical events. An association model of the event interpretation system may determine state information related to the item for storage in a state information database. Accordingly, system exceptions in the item tracking system may be reduced, and an accuracy and reliability of the system may be improved.

Exception reduction and event reordering in an item tracking system

Method and systems to voice-enable a user interface using a voice extension module are provided. A voice extension module includes a preprocessor, a speech recognition engine, and an input handler. The voice extension module receives user interface information, such as, a hypertext markup language (HTML) document, and voice-enables the document so that a user may interact with any user interface elements using voice commands.

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San Jose, CA, United States of America

Rama Krishna Gurram