Abstract:
In one embodiment, a method comprises detecting, by an access network computing node, a network service provided by a service provider for one or more identified endpoint devices via a wide area network connection, the access network computing node within an access network providing connections for the one or more identified endpoint devices to access the network service via the wide area network connection; detecting an unavailability of the network service via the wide area network connection; and supplying, by the access network computing node, at least a substitute of the network service for the one or more identified endpoint devices in response to the detected unavailability of the network service via the wide area network connection.
Abstract:
A precaching system identifies an object, such as a media file, that a user accesses and then analyzes a social graph of the user to identify social graph contacts that may be interested in the object. Based on the content of the object—and the interests and connections of contacts in the social graph—the precaching system determines whether a particular contact in the user's social graph is likely also to access the object. For example, the precaching system may determine a hit score corresponding to the object and a likelihood that the particular contact in the social graph will access the object. If the precaching system determines that the likelihood that the particular contact will access the object meets or exceeds a threshold probability level for precaching the object, the precaching system precaches the object near the contact in anticipation that the contact will access the object.
Abstract:
A precaching system identifies an object, such as a media file, that a user accesses and then analyzes a social graph of the user to identify social graph contacts that may be interested in the object. Based on the content of the object—and the interests and connections of contacts in the social graph—the precaching system determines whether a particular contact in the user's social graph is likely also to access the object. For example, the precaching system may determine a hit score corresponding to the object and a likelihood that the particular contact in the social graph will access the object. If the precaching system determines that the likelihood that the particular contact will access the object meets or exceeds a threshold probability level for precaching the object, the precaching system precaches the object near the contact in anticipation that the contact will access the object.
Abstract:
An edge server communicates with a client in a local network. The client displays a remote desktop image representative of a virtual desk image generated by a virtual desktop server (VDS). The edge server receives from the VDS a desktop image to be displayed on the remote desktop. The desktop image includes an incomplete window in which graphic media, such as video, is to be displayed. The edge server determines communication link conditions in the local network and a corresponding transmit data rate at which to transmit data to the client device and a suitable encoding rate at which the graphic media is encoded. The edge server downloads the graphic media from the content server, merges the downloaded graphic media into the incomplete area to produce a completed desktop image, and transmits the completed desktop image at the determined transmit data rate for display on the remote desktop.
Abstract:
In one embodiment, a method comprises determining, by an apparatus, a pattern of frequency band capabilities of wireless client devices relative to respective wireless Media Access Control (MAC) addresses of the wireless client devices, the determining based on a machine-based classification of the wireless client device capabilities relative to the respective MAC addresses; classifying a new wireless client device based on classifying the corresponding MAC address of the new client device relative to the pattern; and steering the new wireless client device to an available wireless band based on the classifying of the new wireless client device.
Abstract:
A precaching system identifies an object, such as a media file, that a user accesses and then analyzes a social graph of the user to identify social graph contacts that may be interested in the object. Based on the content of the object—and the interests and connections of contacts in the social graph—the precaching system determines whether a particular contact in the user's social graph is likely also to access the object. For example, the precaching system may determine a hit score corresponding to the object and a likelihood that the particular contact in the social graph will access the object. If the precaching system determines that the likelihood that the particular contact will access the object meets or exceeds a threshold probability level for precaching the object, the precaching system precaches the object near the contact in anticipation that the contact will access the object.
Abstract:
Techniques are presented herein to provide human mobility pattern based modeling and tracking of a group of network enabled user devices associated with the same person. An association is made, at a tracking device, between a plurality of user devices and a user. Location information for each of the plurality of user devices is derived through network activity of the plurality of user devices. Locations for the plurality of user devices are derived from the location information. One or more predetermined user mobility pattern rules are applied to the plurality of user devices. User anomalies are detected when the tracked locations indicate that one or more of the plurality of user devices has violated one or more the predetermined user mobility rules.
Abstract:
Techniques are presented herein to provide human mobility pattern based modeling and tracking of a group of network enabled user devices associated with the same person. An association is made, at a tracking device, between a plurality of user devices and a user. Location information for each of the plurality of user devices is derived through network activity of the plurality of user devices. Locations for the plurality of user devices are derived from the location information. One or more predetermined user mobility pattern rules are applied to the plurality of user devices. User anomalies are detected when the tracked locations indicate that one or more of the plurality of user devices has violated one or more the predetermined user mobility rules.
Abstract:
In one embodiment, a method comprises detecting, by an access network computing node, a network service provided by a service provider for one or more identified endpoint devices via a wide area network connection, the access network computing node within an access network providing connections for the one or more identified endpoint devices to access the network service via the wide area network connection; detecting an unavailability of the network service via the wide area network connection; and supplying, by the access network computing node, at least a substitute of the network service for the one or more identified endpoint devices in response to the detected unavailability of the network service via the wide area network connection.
Abstract:
Techniques are presented herein to provide human mobility pattern based modeling and tracking of a group of network enabled user devices associated with the same person. An association is made, at a tracking device, between a plurality of user devices and a user. Location information for each of the plurality of user devices is derived through network activity of the plurality of user devices. Locations for the plurality of user devices are derived from the location information. One or more predetermined user mobility pattern rules are applied to the plurality of user devices. User anomalies are detected when the tracked locations indicate that one or more of the plurality of user devices has violated one or more the predetermined user mobility rules.