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.

Methods, systems, and apparatuses for implementing advanced content retrieval are described. Machine learning methods may be implemented so that a system may predict when a user device may experience network disconnections. The system may also predict the type of content one or more applications on the user device may seek to download during the network disconnection period. Neural networks may be trained based on user activity log data and may implement machine-learning techniques to determine user preferences and settings for advanced content retrieval. The system may predict when a user may want to download content in advance, the type of content the user may be interested in, anticipated network connectivity, and anticipated battery consumption. The system may then generate recommendations for the user device based on the predictions. If a user agrees with the recommendations, the system may obtain and cache the content.

Methods, systems, and apparatuses for implementing advanced content retrieval are described. Machine learning methods may be implemented so that a system may predict when a user device may experience network disconnections. The system may also predict the type of content one or more applications on the user device may seek to download during the network disconnection period. Neural networks may be trained based on user activity log data and may implement machine-learning techniques to determine user preferences and settings for advanced content retrieval. The system may predict when a user may want to download content in advance, the type of content the user may be interested in, anticipated network connectivity, and anticipated battery consumption. The system may then generate recommendations for the user device based on the predictions. If a user agrees with the recommendations, the system may obtain and cache the content.

A method and system for storing content includes determining candidate locations for pre-positioning a content at a content distribution system within a network. The method further includes communicating probe signals to the candidate locations, generating acknowledgement signals at candidate locations comprising storage availability data and compute data, selecting a real-time communication of the content or a pre-positioning communication of the content to form a selected communication based on dormant network capacity and at least one of a likelihood of consumption, the likelihood of consumption relative to a cost of storage, a cost of compute, and comparison of a cost of serving the content in real-time and a cost of serving the content using pre-positioning, selecting a selected content storage location for the content based on the storage availability data and compute data from the acknowledgment signals. The content is communicated to and stored at the selected content storage location.

Generally described, one or more aspects of the present application relate to prefetching container images for use in a cluster of virtual machines. For example, the cluster manifest may indicate an ordered list of image repositories and a set of container images that are likely to be executed on the cluster. Based on this indication, the set of container images can be prefetched onto the caches of the virtual machines in the cluster, such that when requests to execute those container images are eventually received, the container images can be accessed from the caches rather than from a remote repository.

Generally described, one or more aspects of the present application relate to prefetching container images for use in a cluster of virtual machines. For example, the cluster manifest may indicate an ordered list of image repositories and a set of container images that are likely to be executed on the cluster. Based on this indication, the set of container images can be prefetched onto the caches of the virtual machines in the cluster, such that when requests to execute those container images are eventually received, the container images can be accessed from the caches rather than from a remote repository.

Aspects of present disclosure include devices within a transmission path of streamed content forwarding received data packets of the stream to the next device or “hop” in the path prior to buffering the data packet at the device. In this method, typical buffering of the data stream may therefore occur at the destination device for presentation at a consuming device, while the devices along the transmission path may transmit a received packet before buffering. Further, devices along the path may also buffer the content stream after forwarding to fill subsequent requests for dropped data packets of the content stream. Also, in response to receiving the request for the content stream, a device may first transmit a portion of the contents of the gateway buffer to the requesting device to fill a respective buffer at the receiving device.

Aspects of present disclosure include devices within a transmission path of streamed content forwarding received data packets of the stream to the next device or “hop” in the path prior to buffering the data packet at the device. In this method, typical buffering of the data stream may therefore occur at the destination device for presentation at a consuming device, while the devices along the transmission path may transmit a received packet before buffering. Further, devices along the path may also buffer the content stream after forwarding to fill subsequent requests for dropped data packets of the content stream. Also, in response to receiving the request for the content stream, a device may first transmit a portion of the contents of the gateway buffer to the requesting device to fill a respective buffer at the receiving device.

A user device includes a memory and one or more processors. The memory is configured to store one or more user applications installed in the user device. The one or more processors are configured to select one or more operations, which are to be performed in normal launching of a user application but not in background pre-loading of the user application, to pre-load the user application before the user application is accessed by a user, including skipping the one or more selected operations, and to complete the one or more skipped operations in response to the user accessing the user application.

A user device includes a memory and one or more processors. The memory is configured to store one or more user applications installed in the user device. The one or more processors are configured to select one or more operations, which are to be performed in normal launching of a user application but not in background pre-loading of the user application, to pre-load the user application before the user application is accessed by a user, including skipping the one or more selected operations, and to complete the one or more skipped operations in response to the user accessing the user application.