Patent classifications
H04N21/2405
Automated resource management for distributed computing
In some embodiments, infrastructure data and service data is received for a computing infrastructure. The infrastructure data indicates resources in the computing infrastructure, and the service data indicates services to be orchestrated across the computing infrastructure. An infrastructure capacity model is generated, which indicates a capacity of the computing infrastructure over a particular time window. Service-to-resource placement options are also identified, which indicate possible placements of the services across the resources over the particular time window. Resource inventory data is obtained, which indicates an inventory of resources that are available to add to the computing infrastructure during the particular time window. An infrastructure capacity plan is then generated, which indicates resource capacity allocation options over the time slots of the particular time window. Resource capacities for the services are then allocated in the computing infrastructure.
Methods and systems configured to manage video transcoder latencies
Systems and methods configured to detect and manage video transcoder latencies are described. A manifest is received and is used to request video segments included in a manifest playlist. A transcoder having an input and output is used to transcode video segments. A delta time for a first SCTE-35 marker between the transcoder input and the transcoder output is determined, where the delta time corresponds to a transcoder latency. A determination is made as to whether a corrective action needs to be taken with respect to the latency, and such corrective action is taken as needed. The corrective action may include a transcoder reset. The manifest may be a text file and may be in the form of an HLS or DASH manifest. Additionally, streaming latencies may be reduced by switching content distribution systems, increasing the number of edge systems distributing content to clients, and/or by increasing video cache memory.
Dynamic content steering based on server and client device capabilities
The disclosed computer-implemented method includes determining that incoming media item requests are to be skewed from a random distribution among server nodes, using a random distribution algorithm, to a directed distribution among the server nodes. The method then includes identifying, in a loading assignment, which media items are to be loaded onto specific server nodes to produce the directed distribution of media item requests. The method next includes preloading the identified media items onto the server nodes according to the loading assignment and receiving media item requests for the preloaded media items. The method then includes routing the received media item requests to the server nodes using the random distribution algorithm, where the random distribution algorithm is skewed to the directed distribution based on the preloading of the media items according to the identified loading assignment. Various other methods, systems, and computer-readable media are also disclosed.
SYSTEMS AND METHODS FOR STREAMING MEDIA CONTENT DURING UNAVAILABILITY OF CONTENT SERVER
Systems and methods are described herein for streaming during unavailability of a content server. Upon determining that there are conditions indicating buffering issues during delivery of a media asset, a server determines a first group of devices suitable for receiving the media asset from the server and sharing the media asset on a peer-to-peer network. Then, the server determines a second group of devices suitable for receiving the media asset on a peer-to-peer network from a first group device. The server then determines groupings within which to share and receive the media asset. Next, the server transmits instructions to the devices in the first group to maintain in buffer and share certain portions of the media asset with the second group devices within their grouping. Finally, the server updates information detailing the media asset portions the devices are maintaining in buffer and sharing.
METHOD AND SYSTEM FOR SETTING VIDEO COVER
The present invention provides a method and a system for setting a video cover, which belongs to the field of video processing technology. The method includes: receiving, by a codec service cluster, a cover creation request carrying cover parameters of a target video, and obtaining, by the codec service cluster, a video file of the target video, wherein the cover parameters at least include a video segment identifier, a video segment rewind demand, and a video segment playback speed; according to the cover parameters of the target video and the video file of the target video, generating, by the codec service cluster, a cover video file of the target video; and feeding back, by the codec service cluster, the cover video file of the target video to enable a feedback receiver to set the video cover for the target video based on the cover video file. By adopting the present invention, the video cover can substantially effectively and intuitively display characteristics of the entire video, and the user can substantially accurately judge the video content through the video cover.
DYNAMIC LOAD BALANCING FOR VIDEO ANALYTICS PIPELINES
In one embodiment, an edge compute node comprises processing circuitry to: receive an incoming video stream captured by a camera, wherein the incoming video stream comprises a plurality of video segments; store the plurality of video segments in a receive buffer in a memory; perform a visual computing task on a first video segment in the receive buffer; detect a resource overload on the edge compute node; receive load information corresponding to a plurality of peer compute nodes; select a peer compute node to perform the visual computing task on a second video segment in the receive buffer; replicate the second video segment from the edge compute node to the peer compute node; and receive a compute result from the peer compute node, wherein the compute result is based on the peer compute node performing the visual computing task on the second video segment.
METHOD FOR DETERMINING MEDIA SERVER, AND SERVER
A method for determining a media server and a sever are provided. In the method, a live streaming access request from a target account is received; an audience number type of an anchor account in the live streaming room is determined; a target media server matching the audience number type is determined; and a live video stream in the live streaming room is transmitted, based on the target media server, to a terminal from which the target account is logged in.
Methods and apparatus for revenue-optimized delivery of content in a network
Methods and apparatus for optimizing the distribution and delivery of multimedia or other content within a content-based network. In one embodiment, the network comprises a broadcast switched cable television network, which utilizes a Network optimization controller (NOC) that processes subscriber program viewing requests to identify options available to fulfill the request (including, e.g., the creation of one or more “microcasts” specifically targeting one or more users), and evaluate these options to determine one that optimizes network operation. The NOC performs these decisions by considering various parameters including network resource availability, type of CPE, subscriber's targeted advertisement profile, and business rules programmed by operator of the network.
Controlled uplink adaptive streaming based on server performance measurement data
The invention relates to method and system (1) for centrally controlling uplink streaming from a plurality of devices (D) to a server (S) for data processing. The method comprises to centrally measure (S10) performance of data processing for providing a performance measurement result (r). The method continues to be executed on the device (D) by providing (D12) a control instruction (ci), which is based on the performance measurement result (r) for controlling (D13) uplink streaming parameters for sending data to the server (S).
Geo, segment, uniques distributed computing system
A distributed computing system is configured to compute operational data for a video advertisement delivery system. Cloud-based resource are used to calculate operational parameters such as geographical data, unique advertisement delivery instances and segments of consumers that received the video advertisements.