45 results about "Content delivery network" patented technology

The embodiments of the present disclosure provide a video processing method and apparatus, and an electronic device. The video processing method includes: acquiring a first video and first information, where the first information is used for generating a second video, and the first information comprises an identifier of an audio and editing information; acquiring the audio in a content delivery network based on the identifier of the audio; and generating the second video based on the first video, the audio, and the editing information.

Media plan generation systems and methods for TV advertising are disclosed. Embodiments of these systems and methods are adapted to generate a media plan comprising a core plan and a test plan. The core plan may be produced based on historical models regarding historical performance of an entity's media while the test plan may be produced based on a predictive model of media performance.

The application discloses an online singing and microphone passing interaction method and device and a medium, relates to the technical field of communication, and is applied to a lead singer client in an online singing room and comprises the following steps: if a currently sung song meets preset microphone passing conditions, a microphone passing button is displayed on a local preset screen area; if it is monitored that the microphone passing button is clicked, a chorus invitation request is sent to each audience client in the online singing room; a communication connection establishment request sent by a microphone receiving client is responded to, so that a point-to-point link is established with the microphone receiving client; a first audio stream uploaded by the microphone receiving client through the point-to-point link is acquired, and the first audio stream and a second audio stream locally acquired are merged to obtain a chorus audio stream; and the chorus audio stream is uploaded to a content distribution network, so that non-microphone receiving clients in the audience clients acquire the chorus audio stream from the content distribution network through a content distribution network link and play the chorus audio stream. The application can realize microphone passing interaction between singers and audiences in the online singing room.

Disclosed are systems and methods for synthetic monitoring of an internet-based service using a content delivery network (CDN). A monitoring CDN is caused to measure the availability and performance of the internet-based service at one or more geographic locations by triggering the execution of custom code on an edge-compute platform of the monitoring CDN. Data provided by the measuring of the availability and performance of the internet-based service at the one or more geographic locations is obtained and output.

Systems, devices, and techniques are disclosed for content delivery network configuration. An API request may include a description in an API language may be received. The description may include HTTP protocols, methods, header policies, certificate data, origins, and routing rules. Asynchronous processes may configure a first content delivery network based on the description. One of the asynchronous processes may interact with a certificate service. Additional asynchronous processes may configure a second content delivery network based on the description. The description may not be changed based on configuration parameters of the second content delivery network. The configuration parameters of the second content delivery network may be different from configuration parameters of the first content delivery network.

The application relates to an active cache routing method and system of a satellite content distribution network, the satellite content distribution network comprising at least one satellite node. The method comprises: extracting first semantic information features of distributed content and second semantic information features of historical popular content by using a deep learning model; calculating semantic similarity between the first semantic information features and the second semantic information features; calculating a satellite semantic cache priority value of a satellite node corresponding to the distributed content according to the semantic similarity; and planning an active cache routing path of the distributed content according to the satellite semantic cache priority value of each satellite node. The application can enable the satellite to automatically make a cache decision of the distributed content in the content distribution process, and improve the efficiency of active cache by combining content distribution and cache deployment.

A dynamic content delivery network switching method (CDN) is disclosed. The present invention uses a third-party monitoring server to dynamically obtain the data transmission speed of the CDNs node that assist a main server in providing content services through a script code constructed in the homepage content of the content data, and judges accordingly within an adjustment period which CDN node performs poorly, so that each user terminal can be notified to adjust the connected CDN node within a next adjustment period. In this way, the present invention can dynamically and effectively control the connection between the CDN nodes and the user terminals, and increase the sending speed of the content service provided by the main server.

The application discloses a content distribution method and a content distribution network. The method comprises the following steps: a first edge node receives an access request of a target resource from a client, and the access request of the target resource comprises a client IP; a current redirection ratio is determined based on a planned bandwidth and a real-time used bandwidth of the first edge node, and a current first threshold is determined according to the current redirection ratio; it is judged whether the tail number of a preset number of bits of a first confusion value of the client IP is less than the current first threshold, if not, the target resource is sent to the client, and the preset number of bits is equal to the number of bits of the first threshold; if yes, a target edge node is determined, and redirection information is returned to the client. The application compares the tail number of the preset number of bits of the first confusion value with the first threshold determined based on the redirection ratio to judge whether the redirection is triggered, so that the accurate control of the redirection ratio is realized, and meanwhile, the connection multiplexing rate can be improved.

The application discloses a DNS log-based P2P content distribution network node identification method and system, and belongs to the technical field of network security and traffic analysis.The application solves the problem that the prior art cannot accurately identify P2P content distribution network nodes.The application collects DNS resolution logs from recursive resolvers of Internet service providers, extracts key information of DNS queries from the DNS resolution logs, analyzes domain name access preference features, content provider aggregation features and external service behavior features of the nodes according to the extracted key information, obtains abstract features of the nodes, and finally inputs the abstract features of the nodes into a P2P content distribution network node identification model corresponding to network connection time lengths, so as to accurately identify the P2P content distribution network nodes through the identification model.The method can be applied to P2P content distribution network node identification.

This application provides a CDN scheduling concurrency adjustment method, apparatus, computer equipment, computer-readable storage medium, and computer program product, belonging to the field of content delivery network technology. The method includes: acquiring historical actual bandwidth data, a preset bandwidth cost line, and a basic scheduling concurrency within a preset statistical window; determining a bandwidth gap factor based on the historical actual bandwidth data and the preset bandwidth cost line, the bandwidth gap factor being used to characterize the degree of bandwidth deviation; correcting the basic scheduling concurrency based on the bandwidth gap factor to obtain a target scheduling concurrency; and executing user scheduling based on the target scheduling concurrency. The technical solution of this application embodiment can reduce bandwidth usage costs.

This invention provides a method, apparatus, and content delivery network for forwarding domain name access requests. The method is applied to a first node deployed in a content delivery network. The content delivery network also deploys a control center and a second node. The second node has a long-lived connection with the origin server of the domain name. The method includes: obtaining a target domain name sent by the control center, where the global query rate of the target domain name is less than or equal to a query rate threshold, and the global query rate is the query rate of the content delivery network for the target domain name; obtaining a domain name access request, which includes the domain name; and, if the domain name is the same as the target domain name, sending the domain name access request to the second node, which is the aggregation point for domain names in the content delivery network. The second node is used to send the domain name access request to the origin server via the long-lived connection. This method can aggregate domain name access requests from domains with low query rates, increasing the probability of reusing the long-lived connection already established with the origin server.

Embodiments of the present application disclose a resource preloading method and device, electronic equipment and a storage medium. The method comprises: obtaining content data of at least one target content returned by a server in response to a target content acquisition request; each content data comprises a download address of a multimedia resource; determining a target estimated exposure rate of each target content in the at least one target content; determining a target pre-download resource amount in preset multimedia resource download configuration information matched with each target content based on the target estimated exposure rate of each target content; the preset multimedia resource download configuration information represents a corresponding relationship between an estimated exposure rate and a pre-download resource amount, and the pre-download resource amount and the estimated exposure rate are in a positive correlation relationship; and downloading the multimedia resource from a content distribution network based on the target pre-download resource amount corresponding to each target content and the download address of the multimedia resource. The embodiments of the present application save CDN bandwidth and other resources without affecting the demand for advertisement clicks and conversion.

The application discloses a cost-sensitive edge-assisted live streaming method and system, and proposes a cost-sensitive edge-assisted live streaming method and system, which utilizes a Shapley value estimation method to model actual bandwidth costs of a content distribution network and an edge server in different time periods under 95 peak pricing; meanwhile, based on the estimated Shapley value, for a high-computational-complexity online request scheduling problem, a plurality of acceleration technologies are utilized to reduce computational overhead without sacrificing performance, and a request scheduling greedy algorithm with theoretical guarantee is used for solving, so that a coupling problem between cost modeling and request scheduling is solved, thereby effectively reducing bandwidth costs of the edge-assisted live streaming system. Compared with other methods, the system and method have significant advantages in improving transmission capacity of a current live streaming system and saving bandwidth costs.

A method according to embodiments may comprise the steps of: collecting metrics by a media session handler of an apparatus for providing media streaming in a wireless communication system; collecting consumption information; and reporting the metrics and the consumption information to a data collection application function (AF). A method according to embodiments may comprise the steps of: receiving metric information and consumption information collected by a media session handler of an apparatus for providing media streaming in a wireless communication system; and switching a content delivery network (CDN) on the basis of the metric information and the consumption information.

The present application relates to the field of artificial intelligence and computer science, in particular to a computing power matching and marketing content distribution method and system based on a graph neural network.The method of the present application comprises: obtaining real-time state data of each edge node in a content distribution network system, feature data of each marketing content to be distributed, and feature data of each user terminal; constructing a heterogeneous graph with the edge nodes, marketing contents and user terminals as nodes, and computing power relationships, content matching relationships and historical distribution relationships as edges; iteratively aggregating and updating the heterogeneous graph through a graph neural network to generate a computing power resource representation vector for each edge node and a resource demand representation vector for each marketing content; generating a computing power-content matching matrix based on the similarity between the computing power resource representation vector and the resource demand representation vector; and distributing the marketing content to the corresponding edge node according to the computing power-content matching matrix.The present application improves the overall utilization rate of computing power resources.

This application relates to an adaptive content delivery network switching device and method. In one embodiment, the adaptive content delivery network switching device includes a processor, a network interface, and a memory connected to the processor, wherein the memory contains a content delivery network switching application, and the content delivery network switching application instructs the processor to receive content from a first content delivery network, determine a minimum performance threshold based on playback variables from the received content, and receive new content from a second content delivery network if the minimum performance threshold is not met.

This application provides a content delivery network (CDN) configuration method, device, and readable storage medium. After constructing a CDN configuration instance for a target domain name according to the constraints of the standard CDN configuration syntax, the terminal device submits the CDN configuration instance to the management node. Upon receiving the CDN configuration instance for the target domain name, the management node verifies the CDN configuration instance. If the CDN configuration instance passes verification, it sends the CDN configuration instance to the CDN node, enabling the CDN node to process access requests under the target domain name according to the CDN configuration instance. This approach, by constructing CDN configuration instances based on the constraints of the standard CDN configuration syntax, allows the same CDN configuration instance to adapt to different underlying systems, decoupling the CDN configuration instance from the CDN software and enabling cross-vendor reuse of CDN configuration instances. This effectively reduces the difficulty for enterprises and their various business systems to access CDNs.

This application provides a hotspot diffusion method, apparatus, electronic device, and storage medium, relating to the field of data processing technology. The method includes: predicting target hotspot content resources based on the operational data of a content delivery network; calculating the priority weight of each cache node for hotspot diffusion based on the status information of multiple cache nodes and a three-dimensional dynamic indicator of load status, network quality, and security risk for the target hotspot content resources; determining a target cache node set among the multiple cache nodes according to the priority weight, and diffusion the target hotspot content resources to the target cache node set. The method provided by this application ensures that hotspot content can be efficiently and evenly deployed to the optimal node set, thereby improving the overall resource utilization, service response speed, and capacity to handle sudden traffic surges in the content delivery network.

A content distributor in a content distribution system may be configured to encode each frame of a content asset individually and separately from a plurality of other frames of the content asset. Each frame of the content asset may be encoded to a plurality of pixel resolutions and may be transmitted using an Internet Protocol (IP) network such that the frame is available for playback by at least one user device. Each frame of the content asset may be placed in one or more buffers where it may be requested by a user device for playback through a content delivery network. The content distributor may be configured to generate a manifest that contains a list of specific network locations (e.g., URL's) for each pixel resolution of the frame.

A cloud computing platform provides virtual machines on-demand to users. The platform provides a service that enables the user to access and control their virtual machine via an out-of-band channel for administrative purposes. A user invokes this service by authenticating with a control center and receiving a URL that points to a content delivery network (CDN). The user follows the URL to connect to a particular CDN server, per the CDN's request routing architecture. The CDN server applies instructions for handling this cloud compute platform URL, thereby decrypting an encrypted token in the URL to find, e.g., a network locator pointing to the host that is currently hosting the user's virtual machine, as well as an identifier for the user's virtual machine, and authenticators. The CDN server goes forward to the host, connecting to an endpoint which in turn connects to the user's virtual machine to provide the service.

The application discloses a CDN edge node cooperative optimization method and system based on a lightweight AI model, and relates to the technical field of content distribution networks. In view of the problems of response lag and low resource utilization caused by the traditional CDN static strategy, the scheme comprises the following steps: collecting specified data, aligning the time sequence, and then performing real-time analysis by a lightweight TCN model to output a pre-cache priority list and a routing target node score table; aggregating the global state information reported by each node, combining the analysis results, and generating a global balanced strategy by a MARL framework through node demand similar matching and resource negotiation; based on the global balanced strategy, the following actions are performed in parallel: intelligent pre-caching based on the pre-cache priority list, dynamic request routing realized in combination with the routing target node score table and the QUIC protocol, and containerized elastic resource allocation completed through Kubernetes according to quantitative indicators; collecting the execution effect data of the foregoing actions, and optimizing the MARL framework and the lightweight TCN model. The application is used in a high-concurrency dynamic traffic scene.

In one embodiment, software is operable when executed to receive a request for a video fragment from a CDN by a mid-tier video transformer operating between the CDN and servers, determine a type of the request, and identify configuration rules among configuration rules are centralized in the mid-tier video transformer based on the type of the request to transform the request. The software is further operable when executed to determine a media type of the video fragment based on the configuration rules, identify a server based on the media type, and route a transformed request to the server by the mid-tier video transformer.

This application relates to the field of simulation verification technology, providing a method, apparatus, and electronic device for simulating and verifying a content delivery network (CDN) scheduling model. The method includes: constructing a digital twin CDN based on a real production environment of the CDN scheduling system; ensuring that the data of the twin nodes in the digital twin CDN is consistent with the data of the real nodes in the real production environment; performing a first simulation verification on a CDN scheduling model under a preset scenario based on the data from multiple twin nodes; if the result of the first simulation verification meets expectations, performing a second simulation verification on the CDN scheduling model under the preset scenario based on the data from multiple real nodes; and if the result of the second simulation verification meets expectations, applying the CDN scheduling model under the preset scenario to a real production environment. This application can fully verify the functionality of the CDN scheduling model, cover any required scenario, and will not cause any negative impact on the existing network.

A data communication system includes a center device that distributes update data to a master device, and a master device that installs the update data in an electronic control unit to be reprogrammed. The center device and the master device exchange random secret information using an algorithm of a Diffie-Hellman key exchange (DHE) or an Elliptic curve Diffie-Hellman key exchange (ECDHE) for key distribution. The center device encrypts an encryption key for encrypting update data based on the exchanged secret information, stores the encrypted encryption key in a campaign notification, places the update data encrypted with the encryption key in a content delivery network, and transmits the campaign notification storing the encrypted encryption key to a vehicle system.

A unified content delivery network system (UCDN) system formed by one or more networks of interoperable peer-to-peer networks. A hierarchical hybrid adaptive secure peer-assisted network system (referred to as SPAN-AI) using a hierarchical AI-driven approach under a unified secure content addressable architecture, the system is based on five key SPAN-AI subsystems: unified naming; unified discovery; hybrid adaptive routing; scalable publish subscribe; and embedded security; all five key SPAN-AI subsystems are securely integrated and jointly optimized via a hierarchical pluggable AI framework with associated simulation, training, and development pipelines embedded in AI agents with varying degrees of awareness and optimization capabilities at the peer-to-peer, edge, core, or other network levels (hierarchy).

This invention provides a scheduling method, apparatus, device, and storage medium for a content delivery network (CDN), relating to the field of edge computing technology. The method includes: organizing a first group of CDN nodes to perform application-layer quality probing on the external interfaces of a target CDN node, obtaining first quality data; the target CDN node performing application-layer probing on its internal devices, obtaining second quality data; calculating a first quality score based on the first quality data, and calculating a second quality score based on the second quality data; determining the overall quality status of the target CDN node based on the first and second quality scores; and triggering a service traffic scheduling operation for the target CDN node based on the overall quality status. This invention achieves CDN-native, two-dimensional, hierarchical panoramic quality monitoring, effectively avoiding misjudgments caused by network instability, and automatically completing service scheduling for faulty nodes, thereby improving CDN service quality and resource utilization efficiency.