Abstract: Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: Described herein is a polyamide composition comprising two polyamides and glass fiber, wherein one of the polyamides is a polyphthalamide formed by polycondensation from various monomers: dicarboxylic acid(s) with diamine(s) and/or amino acid(s), wherein at least one monomer contains a cyclohexyl group. It was surprisingly discovered that the polyamide composition has improved warpage and/or mold shrinkage properties, excellent mechanical performance and high Tg and/or Tm. Due to the excellent performance, the polyamide composition is suitable for molding and can be desirably incorporated into mobile electronic device applications.

Abstract: Described herein are polymer compositions including a polyphthalamide having a carbon/amide molar ratio greater than 8, a functionalized polyolefin, and a glass fiber, where the weight ratio of the functionalized polyolefin to the total weight of the polyphthalamide and the functionalized polyolefin in the polymer composition is more than 0 and at most 27%. It was surprisingly discovered that the polymer compositions had excellent dielectric performance, acid resistance, and improved mechanical performance, particularly tensile elongation and un-notched Izod impact, relative to corresponding polymer compositions omitting such functionalized polyolefin. Due to the excellent performance, the polymer composition can be desirably incorporated into mobile electronic device components.

Abstract: A system includes at least one processor and at least one memory including instructions that, when executed by the at least one processor, cause the at least one processor to perform operations. The operations include providing a secure link to an auditable, machine-readable dataset to a client device of a user, the auditable, machine-readable dataset comprising data. At least one policy constraint is provided to at least a portion of the data in the dataset. In response to detecting activation of the secure link at the client device, one or both of the user and the client device is authenticated based on the policy constraint. Streaming access is provided to the auditable, machine-readable dataset in real-time.

Abstract: The invention pertains to a polymer composition comprising 10-82 wt. % of a thermoplastic polymer, 5-45 wt. % of carbon fibers, and 13-45 wt. % of hollow glass beads. The resulting composition has an improved combination of tensile modulus and tensile strain with respect to known composition.

Abstract: Described herein are polyester compositions including a semi-aromatic, semi-crystalline polyester, a polyolefin and a glass fiber having a low Dk and low Df (“low Dk/Df glass fiber”). The concentrations of the semi-crystalline polyester and polyolefin are selected such that the polyester weight ratio is from 70% to 95%. It was surprisingly found that when the polyester weight ratio was in the aforementioned range, the polyester compositions had an excellent balance of dielectric properties (Dk and Df) and mechanical properties (e.g., notched impact strength). It was also surprisingly found that when polyester composition further included high Dk/Df glass fibers, the balance of dielectric and mechanical properties was still further improved when the polyester weight ratio was from 75% to 93%. Due at least in part to the excellent balance of dielectric and mechanical properties, the polyester compositions can be desirably incorporated into mobile electronic device components.

Abstract: Network capacity planning based on application performance can include detecting a data session occurring on a network, identifying an application being used for the data session, where the application can include a video application, determining if a performance model for the video application exists, the performance model describing performance metrics and quality of service events associated with the video application, determining, based on the performance model, a capacity planning trigger for the video application, where the capacity planning trigger can include increasing network capacity based on the needs and a quality of service associated with the video application during the data session, and generating a command that, when executed by a network entity, causes the network entity to implement the capacity planning trigger on the network.

Abstract: Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

Abstract: Aspects of the subject disclosure may include, for example, embodiments for selecting a first camera from one or more cameras communicatively coupled to a computing device. Further embodiments include adjusting a first hardware controller on the first camera in response to detecting a network condition of a communication network resulting in an adjusted first camera. Additional embodiments include capturing first video content with the adjusted first camera. Also, embodiments include transmitting the first video content to a video content server over the communication network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including providing a video presentation to user devices. A latency related to the video presentation is determined for each device; a high-latency user device is identified having greater latency than other, low-latency devices. Field of view information is analyzed for each of the low-latency devices; based on the analyzing, a field of view of the high-latency user device is predicted. In accordance with the predicting, a predicted viewing map for the high-latency user device is generated. The video presentation for the high-latency user device is adjusted based on the predicted viewing map. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed to a network-assisted Raft consensus protocol, referred to herein as “NetRaft.” According to one aspect of the concepts and technologies disclosed herein, a system can include a plurality of servers operating in a server cluster, and a plurality of P4 switches corresponding to the plurality of servers. Each server of the plurality of servers can include a back-end that executes a complete Raft algorithm to perform leader election, log replication, and log commitment of a Raft consensus algorithm. Each P4 switch of the plurality of P4 switches can include a front-end that executes a partial Raft algorithm to perform the log replication and the log commitment of the Raft consensus algorithm. The back-end can maintain a complete state for responding to requests that cannot be fulfilled by the front-end. The requests can include read requests and/or write requests.

Abstract: Aspects of the subject disclosure may include, for example, obtaining live video content from equipment of a media content provider, determining priority content within the live video content; segmenting the live video content into a plurality of tiles according to the priority content, and transcoding the live video content according to a type of client device. Further embodiments include determining an encoding schedule for the plurality of tiles according to the priority content, encoding the plurality of tiles according to the encoding schedule, and providing the plurality of tiles to the client device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving content that includes a 360-degree video, determining that guidance is enabled with respect to the content, obtaining an input responsive to determining that the guidance is enabled, and obtaining the guidance with respect to a playback of the content, where the obtained guidance is based on the input. Other embodiments are disclosed.

Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: A method for streaming a 360 degree video over a communications network, wherein the video is streamed in a plurality of chunks, includes selecting a prediction window during which to predict a field of view within the video, the field of view is expected to be visible by a viewer at a time of playback of a next chunk of the video, wherein a duration of the prediction window is based on at least one condition within the communications network, selecting a machine learning algorithm to predict the field of view based on a head movement of the viewer, wherein the machine learning algorithm is selected based on the duration of the prediction window, predicting the field of view based on the head movement of the viewer and the machine learning algorithm, identifying a tile of the next chunk that corresponds to the field of view, and downloading the tile.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

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, a method in which a processing system identifies a plurality of performance indicators comprising device performance indicators for a plurality of communication devices on a cellular network and network performance indicators for the cellular network. The method also includes obtaining historical data regarding the plurality of performance indicators for each of a series of time points during a past time period; the historical data for each of the plurality of performance indicators form an array of values for that performance indicator. The method further includes generating from each array a set of inputs to an algorithm for predicting a throughput of the cellular network during a future time period; the set of inputs comprises quantiles of the array, and the algorithm comprises a machine learning algorithm. Other embodiments are disclosed.