Abstract: Systems and methods for quality of experience measurement and wireless network recommendation and/or switching are disclosed. In some embodiments, a method comprises connecting to a cellular data network, measuring a signal strength value of a Wi-Fi data network within range of the digital device, calculating an overall Wi-Fi score based on the measured signal strength value of the Wi-Fi data network, measuring a signal strength value of the cellular data network, calculating an available bandwidth of the cellular data network, calculating an overall cellular data network score based on the measured signal strength value of the cellular data network and the calculated available bandwidth of the cellular data network, comparing the overall Wi-Fi score and the overall cellular data network score, and switching from the cellular data network to the Wi-Fi data network based on the comparison of the first bandwidth score to the bandwidth threshold value.

Abstract: Systems and methods for quality of experience measurement and wireless network recommendation and/or switching are disclosed. In some embodiments, a method comprises connecting to a cellular data network, measuring a signal strength value of a Wi-Fi data network within range of the digital device, calculating an overall Wi-Fi score based on the measured signal strength value of the Wi-Fi data network, measuring a signal strength value of the cellular data network, calculating an available bandwidth of the cellular data network, calculating an overall cellular data network score based on the measured signal strength value of the cellular data network and the calculated available bandwidth of the cellular data network, comparing the overall Wi-Fi score and the overall cellular data network score, and switching from the cellular data network to the Wi-Fi data network based on the comparison of the first bandwidth score to the bandwidth threshold value.

Abstract: A network appliance configured to optimize advertising content displayed on an internal network. The appliance includes a network appliance input connected at least indirectly to an internal network and configured to receive a plurality of data packets including a request for advertising content, a data packet analyzer configured to monitor the plurality of data packets and to detect the request for advertising content, an advertisement profile generator configured to generate a user profile and to modify the request for advertising content based on the user profile, and a network appliance output connected at least indirectly to an external network and configured to transmit the plurality of data packets including the modified request for advertising content.

Abstract: A network appliance configured to optimize advertising content displayed on an internal network. The appliance includes a network appliance input connected at least indirectly to an internal network and configured to receive a plurality of data packets including a request for advertising content, a data packet analyzer configured to monitor the plurality of data packets and to detect the request for advertising content, an advertisement profile generator configured to generate a user profile and to modify the request for advertising content based on the user profile, and a network appliance output connected at least indirectly to an external network and configured to transmit the plurality of data packets including the modified request for advertising content.

Abstract: Distribution of data captured from a location by a sensor network based on selected distribution settings is disclosed. Data describing usage of one or more items at a location is received from a sensor network associated with the location. A sensor data distribution setting identifying a subset of the data from the sensor network and identifying a server associated with the subset is received. Responsive to the sensor data distribution setting, the subset of data is transmitted to the server associated with the subset without transmitting data from the sensor network data not included in the subset.

Abstract: In one embodiment, a method determines an area for a load reduction of resources. Statistics regarding a past history of load reductions for a plurality of consumers in the area is then determined. Load reduction ratings for the plurality of consumers based on the statistics is then determined. The load reduction rating may be used to rank the consumers based on the result of past load reductions. A list of consumers and devices is then determined for the load reduction. For example, consumers and associated devices are selected based on their load reduction rating. The amount of savings is calculated to be equal to an amount of load reduction that is desired. A signal requesting a load reduction is then sent for the determined consumers and devices.

Abstract: In one embodiment, a method determines a virtual kit identifier for a plurality of devices associated with a plurality of entities. The plurality of devices include a control point device and one or more controllable devices. Device profile information for the plurality of devices is stored in a database. The virtual kit identifier is received in a request for service. The method determines device profile information stored in the database for a controllable device. At least a portion of the device profile information including configuration information and graphical user interface display information is sent to a user interface. The user interface uses the graphical user interface display information to cause display of a page using the configuration information. The method connects to the control point device in the plurality of devices to coordinate performing of the service with the controllable device based on information outputted on the page.

Abstract: In one embodiment, a method determines an area for a load reduction of resources. Statistics regarding a past history of load reductions for a plurality of consumers in the area is then determined. Load reduction ratings for the plurality of consumers based on the statistics is then determined. The load reduction rating may be used to rank the consumers based on the result of past load reductions. A list of consumers and devices is then determined for the load reduction. For example, consumers and associated devices are selected based on their load reduction rating. The amount of savings is calculated to be equal to an amount of load reduction that is desired. A signal requesting a load reduction is then sent for the determined consumers and devices.