A method for providing a user of a transportation vehicle with infotainment content. An area of insufficient coverage of a network along a route ahead of the transportation vehicle is determined. Infotainment content to be made available to the user in the area of insufficient network coverage is determined based on at least one user input. This determined infotainment content to be provided is loaded into the transportation vehicle via the network and is finally made available to the user in the area of insufficient network coverage. A transportation vehicle to carry out the method and a system having a transportation vehicle and a network server.

A method for providing a user of a transportation vehicle with infotainment content. An area of insufficient coverage of a network along a route ahead of the transportation vehicle is determined. Infotainment content to be made available to the user in the area of insufficient network coverage is determined based on at least one user input. This determined infotainment content to be provided is loaded into the transportation vehicle via the network and is finally made available to the user in the area of insufficient network coverage. A transportation vehicle to carry out the method and a system having a transportation vehicle and a network server.

A computer system with access to remote files stored on a remote system can predict that a portion of a remote file is likely to be necessary. The computer system may download the portion of the remote file to a local file and update metadata of the local file to reflect the downloaded portion.

A computer system with access to remote files stored on a remote system can predict that a portion of a remote file is likely to be necessary. The computer system may download the portion of the remote file to a local file and update metadata of the local file to reflect the downloaded portion.

Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner. For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g., for use in hint generation or other crowd-sourced services).

Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner. For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g., for use in hint generation or other crowd-sourced services).

An end user premises device is provided that includes a memory, one or more transceivers, and one or more processors. The one or more transceivers are configured to communicate with one or more stations in a network and a client device. The one or more processors are configured to receive a first user request for data from the client device using the one or more transceivers, determine a first point in time for retrieving the data based on an amount of charge in batteries of the one or more stations in the network, retrieve, at the first point in time, the data from a remote server via the network using the one or more transceivers, store the data in the memory, and in response to a second user request, transmit the data to the client device using the one or more transceivers.

An end user premises device is provided that includes a memory, one or more transceivers, and one or more processors. The one or more transceivers are configured to communicate with one or more stations in a network and a client device. The one or more processors are configured to receive a first user request for data from the client device using the one or more transceivers, determine a first point in time for retrieving the data based on an amount of charge in batteries of the one or more stations in the network, retrieve, at the first point in time, the data from a remote server via the network using the one or more transceivers, store the data in the memory, and in response to a second user request, transmit the data to the client device using the one or more transceivers.

A content delivery network (CDN) is enhanced to enable mobile network operators (MNOs) to provide their mobile device users with a content prediction and pre-fetching service. Preferably, the CDN enables the service by providing infrastructure support comprising a client application, and a distributed predictive pre-fetching function. The client application executes in the user's mobile device and enables the device user to subscribe to content (e.g., video) from different websites, and to input viewing preferences for such content (e.g.: “Sports: MLB: Boston Red Sox”). This user subscription and preference information is sent to the predictive pre-fetching support function that is preferably implemented within or across CDN server clusters. A preferred implementation uses a centralized back-end infrastructure, together with front-end servers positioned in association with the edge server regions located nearby the mobile core network. The predictive pre-fetch service operates on the user's behalf in accordance with the user preference information.

A content delivery network (CDN) is enhanced to enable mobile network operators (MNOs) to provide their mobile device users with a content prediction and pre-fetching service. Preferably, the CDN enables the service by providing infrastructure support comprising a client application, and a distributed predictive pre-fetching function. The client application executes in the user's mobile device and enables the device user to subscribe to content (e.g., video) from different websites, and to input viewing preferences for such content (e.g.: “Sports: MLB: Boston Red Sox”). This user subscription and preference information is sent to the predictive pre-fetching support function that is preferably implemented within or across CDN server clusters. A preferred implementation uses a centralized back-end infrastructure, together with front-end servers positioned in association with the edge server regions located nearby the mobile core network. The predictive pre-fetch service operates on the user's behalf in accordance with the user preference information.