Provided is a system and method for providing online learning in an offline environment. In one example, the method may include receiving an authentication code of a user and a user identifier at a shared agent device that is shared by multiple users, signing, via the shared agent device, the received authentication code with a signing key that is unique to the shared agent device, authenticating, via the shared agent device, the user with a host platform based on the signed authentication code, and, in response to successful authentication of the user, outputting a learning session for the user based on content received from the host platform.

Provided is a system and method for providing online learning in an offline environment. In one example, the method may include receiving an authentication code of a user and a user identifier at a shared agent device that is shared by multiple users, signing, via the shared agent device, the received authentication code with a signing key that is unique to the shared agent device, authenticating, via the shared agent device, the user with a host platform based on the signed authentication code, and, in response to successful authentication of the user, outputting a learning session for the user based on content received from the host platform.

Embodiments seek to improve prefetch hinting using time-dependent, machine-generated hints. Some embodiments operate in context of client machines in communication hinting machines that can develop information about whether and how resources are used in network transactions over time by collecting “resource samples.” Each resource sample can identify rendering status information of a resource at a sample time. The time-based samples can be used to compute time-based probabilities for the resources, indicating, for example, the likelihood of a resource being used to render a web page at some subsequent time. Time-dependent hints can be generated as a function of the time-based probabilities, and the time-dependent hints can be used to improve prefetching by optimizing the hinting information with respect to a particular request time (e.g., the prefetching hints for rendering a web page can be generated in a manner that accounts for when the web page is being rendered).

Embodiments seek to improve prefetch hinting using time-dependent, machine-generated hints. Some embodiments operate in context of client machines in communication hinting machines that can develop information about whether and how resources are used in network transactions over time by collecting “resource samples.” Each resource sample can identify rendering status information of a resource at a sample time. The time-based samples can be used to compute time-based probabilities for the resources, indicating, for example, the likelihood of a resource being used to render a web page at some subsequent time. Time-dependent hints can be generated as a function of the time-based probabilities, and the time-dependent hints can be used to improve prefetching by optimizing the hinting information with respect to a particular request time (e.g., the prefetching hints for rendering a web page can be generated in a manner that accounts for when the web page is being rendered).

A pluggable CDN system and method include an edge node that is installed at each premises and caches/serves content/data to that premises that may be an individual user or a community. The edge node may use a hybrid push/pull caching scheme and may serve data to users even without any Internet connectivity.

A pluggable CDN system and method include an edge node that is installed at each premises and caches/serves content/data to that premises that may be an individual user or a community. The edge node may use a hybrid push/pull caching scheme and may serve data to users even without any Internet connectivity.

A system and method for storing data in a distributed network having a plurality of datacenters distributed over a plurality of geographic regions. The method may involve receiving data, including metadata, uploaded to a first datacenter of the distributed network, receiving access information about previous data that was previously stored in the plurality of datacenters of the distributed network, predicting one or more of the plurality of geographic regions from which the uploaded data will be accessed based on the metadata and the access information, and instructing the uploaded data to be transferred from the first datacenter to one or more second datacenters located at each of the one or more predicted geographic regions.

The document describes systems and methods for handling local (legacy) devices. A local cloud gateway comprises a plurality of interface connectors of different types to physically connect a plurality of these legacy devices to the cloud, comprising a plurality of distant servers. Developments describe the step of extracting the functional messages out of messages stemming from local legacy devices (e.g. protocol translators), secure communications, logical representations of legacy devices in the cloud (“twins”), administration options, various user interfaces (e.g. buzzer) for seamless configuration and use, the use of one or more actuators (retroactions on the physical world), etc. Software and/or hardware embodiments are described.

The document describes systems and methods for handling local (legacy) devices. A local cloud gateway comprises a plurality of interface connectors of different types to physically connect a plurality of these legacy devices to the cloud, comprising a plurality of distant servers. Developments describe the step of extracting the functional messages out of messages stemming from local legacy devices (e.g. protocol translators), secure communications, logical representations of legacy devices in the cloud (“twins”), administration options, various user interfaces (e.g. buzzer) for seamless configuration and use, the use of one or more actuators (retroactions on the physical world), etc. Software and/or hardware embodiments are described.

A method of caching data at a processing node within a communication network can include predicting a future location of a user. A processing node within the communication network can be selected according to the future location. Data to be sent to the selected processing node can be selected. The selected data can be sent to the selected processing node.