Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for estimating the streaming rate at which data is delivered over a network. For instance, in one example, a data packet is intercepted from a data streaming session conducted between a first device and a second device connected over a network. A size of a file segment contained in the data packet is calculated. The file segment corresponds to a portion of an item of multimedia content being delivered via the data streaming session. The encoding rate of the data streaming session is then calculated based at least in part on the size of the file segment.

Abstract: In one example, the encoding rate at which data is delivered over a network is estimated by intercepting a data packet from a data streaming session, wherein the data packet contains at least a portion of one of a plurality of file segments containing portions of a file, and wherein a number of the plurality of file segments that is delivered via the data streaming session is limited to a maximum number. The mean size of the plurality of file segments is estimated from data contained in the data packet. A plurality of potential sizes of the plurality of file segments is calculated, wherein each potential size corresponds to one number between one and the maximum number. An encoding rate of the data streaming session is calculated, based at least in part on which potential size of the plurality of potential sizes is closest to the mean size.

Abstract: Aspects of the subject disclosure may include, for example, a system that provides for obtaining, by a server comprising a processor, network parameter data from an eNodeB of a wireless network. The server can determine a predicted bandwidth for a group of end user devices in a coverage area of the eNodeB according to the network parameter data. The server can receive, from an end user device of the group of end user devices, a request for the predicted bandwidth. The server can provide the predicted bandwidth to the end user device. The providing of the predicted bandwidth enables the end user device to provide a video chunk request to a content server that is based on a selected chunk delivery schedule and facilitates streaming of video content to the end user device from the content server. Other embodiments are disclosed.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for estimating the streaming rate at which data is delivered over a network. For instance, in one example, a data packet is intercepted from a data streaming session conducted between a first device and a second device connected over a network. A size of a file segment contained in the data packet is calculated. The file segment corresponds to a portion of an item of multimedia content being delivered via the data streaming session. The encoding rate of the data streaming session is then calculated based at least in part on the size of the file segment.

Abstract: In one example, the encoding rate at which data is delivered over a network is estimated by intercepting a data packet from a data streaming session, wherein the data packet contains at least a portion of one of a plurality of file segments containing portions of a file, and wherein a number of the plurality of file segments that is delivered via the data streaming session is limited to a maximum number. The mean size of the plurality of file segments is estimated from data contained in the data packet. A plurality of potential sizes of the plurality of file segments is calculated, wherein each potential size corresponds to one number between one and the maximum number. An encoding rate of the data streaming session is calculated, based at least in part on which potential size of the plurality of potential sizes is closest to the mean size.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for estimating the streaming rate at which data is delivered over a network. For instance, in one example, a data packet is intercepted from a data streaming session conducted between a first device and a second device connected over a network. A size of a file segment contained in the data packet is calculated. The file segment corresponds to a portion of an item of multimedia content being delivered via the data streaming session. The encoding rate of the data streaming session is then calculated based at least in part on the size of the file segment.

Abstract: In one example, the encoding rate at which data is delivered over a network is estimated by intercepting a data packet from a data streaming session, wherein the data packet contains at least a portion of one of a plurality of file segments containing portions of a file, and wherein a number of the plurality of file segments that is delivered via the data streaming session is limited to a maximum number. The mean size of the plurality of file segments is estimated from data contained in the data packet. A plurality of potential sizes of the plurality of file segments is calculated, wherein each potential size corresponds to one number between one and the maximum number. An encoding rate of the data streaming session is calculated, based at least in part on which potential size of the plurality of potential sizes is closest to the mean size.

Abstract: In one example, the encoding rate at which data is delivered over a network is estimated by intercepting a data packet from a data streaming session, wherein the data packet contains at least a portion of one of a plurality of file segments containing portions of a file, and wherein a number of the plurality of file segments that is delivered via the data streaming session is limited to a maximum number. The mean size of the plurality of file segments is estimated from data contained in the data packet. A plurality of potential sizes of the plurality of file segments is calculated, wherein each potential size corresponds to one number between one and the maximum number. An encoding rate of the data streaming session is calculated, based at least in part on which potential size of the plurality of potential sizes is closest to the mean size.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for estimating the streaming rate at which data is delivered over a network. For instance, in one example, a data packet is intercepted from a data streaming session conducted between a first device and a second device connected over a network. A size of a file segment contained in the data packet is calculated. The file segment corresponds to a portion of an item of multimedia content being delivered via the data streaming session. The encoding rate of the data streaming session is then calculated based at least in part on the size of the file segment.

Abstract: Aspects of the subject disclosure may include, for example, a system that provides for obtaining, by a server comprising a processor, network parameter data from an eNodeB of a wireless network. The server can determine a predicted bandwidth for a group of end user devices in a coverage area of the eNodeB according to the network parameter data. The server can receive, from an end user device of the group of end user devices, a request for the predicted bandwidth. The server can provide the predicted bandwidth to the end user device. The providing of the predicted bandwidth enables the end user device to provide a video chunk request to a content server that is based on a selected chunk delivery schedule and facilitates streaming of video content to the end user device from the content server. Other embodiments are disclosed.