Abstract: Technologies for establishing and utilizing a decentralized cloud infrastructure using a plurality of mobile computing devices include broadcasting for the formation of the decentralized cloud computing and storage infrastructure and establishing wireless communications between the plurality of mobile computing devices. The plurality of mobile computing devices self-organize and cooperate with one another to establish a structured decentralized cloud infrastructure to expose and sharing resources, services, and/or applications for ad hoc or socially-driven decentralized, cloud computing purposes.

Abstract: Embodiments herein relate to recognition of an appliance state based on sensor data and determination of a response based at least in part on the appliance state. In various embodiments, an apparatus to recognize an appliance state may include a sensor data module to identify sensor data in one or more signals relating to data from one or more sensors associated with an appliance, an appliance state recognition module to determine an appliance state of the appliance based at least in part on the sensor data, a response module to determine a response based at least in part on the appliance state, and a transmission module to send the response to at least one of an appliance controller for the appliance or a presentation device. Other embodiments may be described and/or claimed.

Abstract: Technologies for establishing and utilizing a decentralized cloud infrastructure using a plurality of mobile computing devices include broadcasting for the formation of the decentralized cloud computing and storage infrastructure and establishing wireless communications between the plurality of mobile computing devices. The plurality of mobile computing devices self-organize and cooperate with one another to establish a structured decentralized cloud infrastructure to expose and sharing resources, services, and/or applications for ad hoc or socially-driven decentralized, cloud computing purposes.

Abstract: An Internet of Things (IoT) system that includes an orchestration device is provided. The orchestration device receives resource requirements and accesses a device/capability map to produce a task deployment map.

Abstract: Embodiments herein relate to recognition of an appliance state based on sensor data and determination of a response based at least in part on the appliance state. In various embodiments, an apparatus to recognize an appliance state may include a sensor data module to identify sensor data in one or more signals relating to data from one or more sensors associated with an appliance, an appliance state recognition module to determine an appliance state of the appliance based at least in part on the sensor data, a response module to determine a response based at least in part on the appliance state, and a transmission module to send the response to at least one of an appliance controller for the appliance or a presentation device. Other embodiments may be described and/or claimed.

Abstract: Technologies for establishing and utilizing a decentralized cloud infrastructure using a plurality of mobile computing devices include broadcasting for the formation of the decentralized cloud computing and storage infrastructure and establishing wireless communications between the plurality of mobile computing devices. The plurality of mobile computing devices self-organize and cooperate with one another to establish a structured decentralized cloud infrastructure to expose and sharing resources, services, and/or applications for ad hoc or socially-driven decentralized, cloud computing purposes.

Abstract: Technologies for monitoring data storage location for cloud data include a cloud monitoring server configured to communicate with one or more cloud customer computing devices and cloud service providers. The cloud monitoring server receives monitoring requests from the cloud customer computing devices and retrieves provider information from the cloud service providers. The cloud monitoring server compiles response data based on the monitoring requests and the provider information, and sends response data to the cloud customer computing devices. Cloud customer computing devices may send on-demand monitoring requests and/or continuous, policy-based monitoring requests. For policy-based monitoring, the cloud monitoring server continually monitors the provider information and provides response data when one or more conditions specified in the policy are satisfied. The cloud monitoring server may also make recommendations and provide feedback based on the monitoring requests or the provider information.

Abstract: Embodiments herein relate to recognition of an appliance state based on sensor data and determination of a response based at least in part on the appliance state. In various embodiments, an apparatus to recognize an appliance state may include a sensor data module to identify sensor data in one or more signals relating to data from one or more sensors associated with an appliance, an appliance state recognition module to determine an appliance state of the appliance based at least in part on the sensor data, a response module to determine a response based at least in part on the appliance state, and a transmission module to send the response to at least one of an appliance controller for the appliance or a presentation device. Other embodiments may be described and/or claimed.

Abstract: Technologies for monitoring data storage location for cloud data include a cloud monitoring server configured to communicate with one or more cloud customer computing devices and cloud service providers. The cloud monitoring server receives monitoring requests from the cloud customer computing devices and retrieves provider information from the cloud service providers. The cloud monitoring server compiles response data based on the monitoring requests and the provider information, and sends response data to the cloud customer computing devices. Cloud customer computing devices may send on-demand monitoring requests and/or continuous, policy-based monitoring requests. For policy-based monitoring, the cloud monitoring server continually monitors the provider information and provides response data when one or more conditions specified in the policy are satisfied. The cloud monitoring server may also make recommendations and provide feedback based on the monitoring requests or the provider information.

Abstract: Embodiments herein relate to recognition of an appliance state based on sensor data and determination of a response based at least in part on the appliance state. In various embodiments, an apparatus to recognize an appliance state may include a sensor data module to identify sensor data in one or more signals relating to data from one or more sensors associated with an appliance, an appliance state recognition module to determine an appliance state of the appliance based at least in part on the sensor data, a response module to determine a response based at least in part on the appliance state, and a transmission module to send the response to at least one of an appliance controller for the appliance or a presentation device. Other embodiments may be described and/or claimed.

Abstract: Technologies for conversational control of a home automation system include a computing device in communication with one or more home automation devices. The computing device receives text input indicative of a spoken user request including one or more parameters associated with a home automation command. The computing device matches the text input against a home automation language model including several predefined dialog patterns. The computing device resolves parameters of the command using a context model. The computing device may resolve the location, device, or requested device state of the command. The computing device generates a text response and a home automation command using the language model, and then presents the text response to the user and performs the home automation command using the home automation devices. In some embodiments, the computing device may control an application automation system or a data exploration system. Other embodiments are described and claimed.

Abstract: Methods, systems, and storage media for providing sizing information is described. In embodiments, a computing device may obtain purchase information associated with individual users. Each of the individual users may correspond to at least one user device of a plurality of user devices. The purchase information may indicate a purchase of an item by the individual users. The computing device may obtain feedback information associated with the item that is provided by a subset of the individual users. The computing device may generate sizing information for the item based on the purchase information and the feedback information. The computing device may generate a recommendation for the item. Other embodiments may be described and/or claimed.

Abstract: An Internet of Things (IoT) system that includes an orchestration device is provided. The orchestration device receives resource requirements and accesses a device/capability map to produce a task deployment map.

Abstract: Embodiments herein relate to recognition of an appliance state based on sensor data and determination of a response based at least in part on the appliance state. In various embodiments, an apparatus to recognize an appliance state may include a sensor data module to identify sensor data in one or more signals relating to data from one or more sensors associated with an appliance, an appliance state recognition module to determine an appliance state of the appliance based at least in part on the sensor data, a response module to determine a response based at least in part on the appliance state, and a transmission module to send the response to at least one of an appliance controller for the appliance or a presentation device. Other embodiments may be described and/or claimed.

Abstract: Embodiments herein relate to recognition of an appliance state based on sensor data and determination of a response based at least in part on the appliance state. In various embodiments, an apparatus to recognize an appliance state may include a sensor data module to identify sensor data in one or more signals relating to data from one or more sensors associated with an appliance, an appliance state recognition module to determine an appliance state of the appliance based at least in part on the sensor data, a response module to determine a response based at least in part on the appliance state, and a transmission module to send the response to at least one of an appliance controller for the appliance or a presentation device. Other embodiments may be described and/or claimed.

Abstract: Technologies for conversational control of a home automation system include a computing device in communication with one or more home automation devices. The computing device receives text input indicative of a spoken user request including one or more parameters associated with a home automation command. The computing device matches the text input against a home automation language model including several predefined dialog patterns. The computing device resolves parameters of the command using a context model. The computing device may resolve the location, device, or requested device state of the command. The computing device generates a text response and a home automation command using the language model, and then presents the text response to the user and performs the home automation command using the home automation devices. In some embodiments, the computing device may control an application automation system or a data exploration system. Other embodiments are described and claimed.

Abstract: Embodiments herein relate to recognition of an appliance state based on sensor data and determination of a response based at least in part on the appliance state. In various embodiments, an apparatus to recognize an appliance state may include a sensor data module to identify sensor data in one or more signals relating to data from one or more sensors associated with an appliance, an appliance state recognition module to determine an appliance state of the appliance based at least in part on the sensor data, a response module to determine a response based at least in part on the appliance state, and a transmission module to send the response to at least one of an appliance controller for the appliance or a presentation device. Other embodiments may be described and/or claimed.

Abstract: Technologies for establishing and utilizing a decentralized cloud infrastructure using a plurality of mobile computing devices include broadcasting for the formation of the decentralized cloud computing and storage infrastructure and establishing wireless communications between the plurality of mobile computing devices. The plurality of mobile computing devices self-organize and cooperate with one another to establish a structured decentralized cloud infrastructure to expose and sharing resources, services, and/or applications for ad hoc or socially-driven decentralized, cloud computing purposes.

Abstract: Technologies for informing a remote user of a local user's availability to receive a contact on a communication device are disclosed. The availability of the local user may be determined based on the local user's context information, which may be reported to the remote user in response to a contact status request. The local user's context information provided to the remote user may inform, for example, whether the local user is available to receive a contact, the best way to contact the local user, and/or other context information of the local user. The type and/or level of specificity of the local user's context information reported to the remote user may be determined based on a privacy level, which may be determined based on the local user's context, the identity of the remote user, and/or other criteria. In some embodiments, contact status updates may be provided to the remote user.

Abstract: Methods, systems and computer program products that allow for the determination of human presence in a room where content is being presented. The audio that is associated with the content may be captured, along with the audio that is being generated collectively by whatever sources may be in the room including the presentation of the content. Features may be extracted from both the content audio and the room audio. These features may then be compared, and the differences may be quantified. If the differences are significant, then human presence may be inferred.