Abstract:
A system that incorporates teachings of the present disclosure may include, for example, initializing a boundary estimate for an optimization of a linear programming model describing a network of media servers for servicing requests for media content items from subscriber devices, where the boundary estimate is an estimate of an infeasible solution of the linear programming model, and calculating iteratively, using an exponential potential function, additional boundary estimates for the linear programming model, wherein the calculating resolves to an improved boundary estimate that corresponds to placement of copies of the media content items at the media servers subject to a set of constraints on storage capacity of media servers and on bandwidth for communication links in the network. Other embodiments are disclosed.
Abstract:
Aspects of the subject disclosure may include, for example, identifying a data request to transfer data for a mobile device across a mobile network. The data request occurs within a time interval of a number of time intervals, each having a duration greater than a data transfer time across the mobile network. A volume is determined of the data requested, and compared to a data transfer capacity of the wireless access terminal. A transfer of the data is scheduled within the time interval, responsive to the volume of data requested being less than the data transfer capacity. The transfer of the data is deferred to another time interval, responsive to the volume of data requested being greater than the data transfer capacity, and the deferring of the data to another time includes resubmitting the data request in another time interval of the plurality of time intervals. Other embodiments are disclosed.
Abstract:
Aspects of the subject disclosure may include, for example, identifying a data request to transfer data for a mobile device across a mobile network. The data request occurs within a time interval of a number of time intervals, each having a duration greater than a data transfer time across the mobile network. A volume is determined of the data requested, and compared to a data transfer capacity of the wireless access terminal. A transfer of the data is scheduled within the time interval, responsive to the volume of data requested being less than the data transfer capacity. The transfer of the data is deferred to another time interval, responsive to the volume of data requested being greater than the data transfer capacity, and the deferring of the data to another time includes resubmitting the data request in another time interval of the plurality of time intervals. Other embodiments are disclosed.
Abstract:
Aspects of the subject disclosure may include, for example, obtaining predicted available bandwidths for an end user device, monitoring buffer occupancy of a buffer of the end user device, determining bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy, and adjusting bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy during streaming of the media content to the end user device over a wireless network. Other embodiments are disclosed.
Abstract:
Aspects of the subject disclosure may include, for example, determining a deadline for completion of the transfer of the data content item to the mobile device. A set of locations of the mobile device is determined between the first time and the deadline, a candidate plurality of wireless base stations is identified, based on the forecasted plurality of locations, to wirelessly transfer a portion of the data content item to the mobile device during the time period. A utilization of a wireless base station of the candidate set of wireless base stations is forecasted during the time period, a transfer time is determined within the time period based on the forecasted utilization and the deadline, and the transfer time is provided to the mobile device. Other embodiments are disclosed.
Abstract:
A system that incorporates teachings of the present disclosure may include, for example, initializing a boundary estimate for an optimization of a linear programming model describing a network of media servers for servicing requests for media content items from subscriber devices, where the boundary estimate is an estimate of an infeasible solution of the linear programming model, and calculating iteratively, using an exponential potential function, additional boundary estimates for the linear programming model, wherein the calculating resolves to an improved boundary estimate that corresponds to placement of copies of the media content items at the media servers subject to a set of constraints on storage capacity of media servers and on bandwidth for communication links in the network. Other embodiments are disclosed.
Abstract:
A method of receiving content includes joining an in-progress multicast stream to receive a first portion of a content. The method further includes sending a request to a peer for a catch-up portion of the content, the request including a deadline for delivery of the content, and receiving the catch-up portion of the content from the peer prior to the deadline.
Abstract:
Aspects of the subject disclosure may include, for example, obtaining predicted available bandwidths for an end user device, monitoring buffer occupancy of a buffer of the end user device, determining bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy, and adjusting bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy during streaming of the media content to the end user device over a wireless network. Other embodiments are disclosed.
Abstract:
A system that incorporates teachings of the present disclosure may include, for example, initializing a boundary estimate for an optimization of a linear programming model describing a network of media servers for servicing requests for media content items from subscriber devices, where the boundary estimate is an estimate of an infeasible solution of the linear programming model, and calculating iteratively, using an exponential potential function, additional boundary estimates for the linear programming model, wherein the calculating resolves to an improved boundary estimate that corresponds to placement of copies of the media content items at the media servers subject to a set of constraints on storage capacity of media servers and on bandwidth for communication links in the network. Other embodiments are disclosed.