Abstract: The distributed computing backup and recovery (DCBR) system and method provide backup and recovery for distributed computing models (e.g., NoSQL). The DCBR system extends the protections from server node-level failure and introduces persistence in time so that the evolving data set may be stored and recovered to a past point in time. The DCBR system, instead of performing backup and recovery for an entire dataset, may be configured to apply to a subset of data. Instead of keeping or recovering snapshots of the entire dataset which requires the entire cluster, the DCBR system identifies the particular nodes and/or archive files where the dataset resides so that backup or recovery may be done with a much smaller number of nodes.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: The distributed computing backup and recovery (DCBR) system and method provide backup and recovery for distributed computing models (e.g., NoSQL) The DCBR system extends the protections from server node-level failure and introduces persistence in time so that the evolving data set may be stored and recovered to a past point in time. The DCBR system, instead of performing backup and recovery for an entire dataset, may be configured to apply to a subset of data. Instead of keeping or recovering snapshots of the entire dataset which requires the entire cluster, the DCBR system identifies the particular nodes and/or archive files where the dataset resides so that backup or recovery may be done with a much smaller number of nodes.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: Methods, systems, and apparatus, including computer program products, for generating feedback. In one aspect, a method includes receiving sensor data from a plurality of sensors, wherein at least one of the plurality of sensors is associated with a mobile device of a user; aggregating the received sensor data to generate aggregated sensor data; processing the aggregated sensor data to determine an aggregated metric; comparing the aggregated metric to a target associated with the user to determine a measure of performance; and generating feedback based on the determined measure of performance. Further, the mobile device can comprise a mobile personal services device that includes one or more of an audio sensor, a video sensor, an environmental sensor, a biometric sensor, a location sensor, an activity detector, and a health monitor. The feedback can be displayed on the mobile personal services device. The feedback also can be displayed in near real-time.

Abstract: The present disclosure includes systems and techniques relating to online information analysis. In general, in one implementation, a system includes a collection engine configured to accumulate document information retrieved from publicly accessible network resources according to predefined subjects, and an analysis engine configured to analyze the accumulated document information to identify change over a time period in general discussion of a topic within a selected subject of the predefined subjects, the analysis engine further configured to normalize the identified change over the time period based on change in a total number of documents found for the selected subject during the time period.

Abstract: A wearable computer system has a user interface with at least an audio-only mode of operating, and that is natural in appearance and facilitates natural interactions with the system and the user's surroundings. The wearable computer system may retrieve information from the user's voice or surroundings using a passive user interface. The audio-only user interface for the wearable computer system may include two audio receivers and a single output device, such as a speaker, that provides audio data directly to the user. The two audio receivers may be miniature microphones that collaborate to input audio signals from the user's surroundings while also accurately inputting voice commands from the user. Additionally, the user may enter natural voice commands to the wearable computer system in a manner that blends in with the natural phrases and terminology spoken by the user.