449 results about "Content distribution" patented technology

The invention discloses a scheduling system of a content distribution network based on edge computing, and relates to the technical field of computer networks. An edge resource sensing module; an NLP semantic analysis module; reinforcing a learning scheduling engine; a semantic and resource linkage module; and a federation collaboration module. According to the scheduling system of the content distribution network based on edge computing, semantic understanding is carried out on a request of a user to analyze a deep intention of the user, edge node multi-dimensional state sensing data and a semantic label vector are integrated, a scheduling action is generated based on a node state and the user intention, and the scheduling effect is improved. Therefore, each edge node is fully utilized while user requirements are met, the edge nodes have caching, computing and scheduling capabilities, the limitation of surface feature matching of a traditional CDN is broken through, technical upgrading from traditional file type recognition to intention understanding and from a fixed rule to dynamic intelligence is realized, and finally, the resource efficiency and service quality of the CDN are improved.

The invention discloses a hierarchical traffic prediction-based multi-terminal video display adaptive method, which comprises the following steps of: acquiring network traffic, user behaviors and equipment state information in real time by constructing a multi-dimensional feature acquisition module, and generating a dynamic feature matrix containing traffic, interaction and performance features; processing the feature matrix by using a deep learning model, and generating and dynamically adjusting a network traffic grading prediction result; formulating an optimized video content distribution strategy based on a prediction result and equipment performance parameters, and coordinating multi-terminal resource distribution; through user behavior analysis and network state monitoring, a self-adaptive video display control strategy is generated, dynamic adaptation of video resolution, frame rate and playing logic is realized, a full-link collaborative optimization module is constructed, terminal, network and application layer resource allocation is coordinated, a video transmission and display strategy is optimized, and network flow prediction and multi-terminal interaction requirements are combined to realize multi-terminal interaction. And generating a dynamic video layout and content switching strategy.

The invention discloses a CDN-based video downlink weak network adaptive image quality optimization method and system, and relates to the technical field of video content distribution. The method comprises the following steps: S1, generating a basic compensation amount according to frame interval deviation and frame content complexity; s2, calculating a rendering overhead index and a rendering urgency threshold according to the state of the multi-source equipment, and generating an interpolation correction coefficient for frame rendering time sequence adjustment; s3, constructing a channel damage quantization map segment trigger redundancy control and introducing an equipment load state constraint; and S4, basic waiting time is generated according to local historical features, and a final waiting time value is generated in combination with the playing buffer area state and the composite load factor. Through cooperation of frame time sequence compensation enhancement, rendering scheduling optimization and segmentation redundancy control strategies, improvement of video image quality stability and end side load adaptability in a weak network environment is realized.

The invention discloses a cross-platform content distribution intelligent adaptation method and system. The method comprises the following steps: acquiring multi-modal original input content; performing feature extraction on the multi-modal original input content to obtain a content feature group; obtaining platform feature parameters of the target distribution platform; obtaining a feature matching degree between the content feature group and the platform feature parameter; generating a content transformation scheme according to the platform feature parameters and the feature matching degree; and according to the content transformation scheme, carrying out transformation adjustment on the multi-modal original input content to obtain transformation content. According to the technical scheme provided by the invention, the original content is subjected to intelligent transformation adaptive to each platform; various content forms are supported, and the application scene is wide; quality evaluation and optimization are carried out on the transformation content, and the quality and the effect are improved; a publishing strategy is formulated, and content value maximization is achieved; fast access of a new platform is supported, a feature library is continuously optimized and updated, and a content modification scheme is dynamically adjusted; and the multi-platform operation efficiency is obviously improved.

The invention relates to the field of data analysis and cleaning, in particular to a method and system for automatically collecting and cleaning public opinion experimental data. The method comprises the following steps of performing periodic data crawling on a public information website, performing public opinion hotspot analysis, and extracting a to-be-processed hotspot event stream; performing keyword detection and global content distribution analysis on the to-be-processed hot event stream to obtain a keyword frequency distribution diagram; performing negative emotion deep recognition according to the to-be-processed hot event stream, and extracting negative emotion public opinion data; performing negative public opinion evolution trend prediction based on the keyword frequency distribution diagram to obtain a negative public opinion propagation situation; and performing IP address tracing on the negative emotion public opinion data to obtain the negative public opinion region sensitivity. According to the method, comprehensive and accurate abnormal public opinion detection and deletion are realized, and the network information quality and the public governance level are improved.

The invention discloses an artificial intelligence algorithm-based e-commerce product recommendation method and system, and relates to the technical field of product recommendation. Comprising the following steps: constructing a user-behavior path flow tree by adopting a multi-criterion splitting mechanism, and generating a node path set; respectively slicing and recombining the user portrait set and the commodity portrait set, and carrying out cross combination; constructing a behavior cluster atlas to which the user belongs, projecting cross commodity nodes in the node path set and the candidate cross mapping set into an anti-cross atlas structure among behavior clusters, and extracting interaction points as a candidate recommendation set; and performing weight regression calculation on each node of the path of the user-behavior path flow tree by utilizing path probability density mapping corresponding to each cross commodity node in the candidate recommendation set, and generating a commodity recommendation sequence according to the maximum path passing probability. According to the method, the recommendation process with the behavior chain criterion and the coupling map mapping is constructed, so that the user experience is improved, and the conversion efficiency and the content distribution capability of the platform are enhanced.

The invention discloses a CDN content caching method, device and equipment, a storage medium and a product. The method can be applied to the technical field of artificial intelligence, is applied to any CDN node in a content distribution network CDN, and specifically comprises the following steps: obtaining user access content data in a first preset time period; inputting the user access content data into a popularity prediction model obtained by pre-training to obtain predicted content popularity of the user access content data output by the model; and determining a target cache hierarchy of the user access content data according to the predicted content popularity, and storing the user access content data to the target cache hierarchy. According to the technical scheme, the access content hit rate of the CDN cache is improved, the CDN performance is improved, and the request processing efficiency of the user access content is improved.

The invention provides an intelligent reply system suitable for a live broadcast matrix scene. The intelligent reply system comprises a receiving module, an algorithm processing module, a reply generation module, a distribution module and a feedback closed loop module. The receiving module collects user input data and dynamic scene parameters of the live broadcast room in parallel, wherein the parameters comprise audience activeness, content sensitivity and real-time response level. The algorithm processing module dynamically integrates a real-time sentiment analysis algorithm, a semantic association algorithm and a scene adaptation algorithm through a weight distributor to generate a real-time weight. The reply generation module generates self-adaptive reply content according to the output, the distribution module configures a resource allocation strategy, and the feedback closed loop module monitors user interaction indexes in real time and adjusts weight distributor parameters. The reply content highly matched with the live broadcast scene can be generated in real time, and the user interaction experience and the live broadcast efficiency are effectively improved.

The invention provides a content distribution network traffic alarm method and device and electronic equipment, and aims to solve the problem of insufficient accuracy of abnormal traffic detection. The method comprises the following steps: acquiring a content delivery network (CDN) real-time traffic log, wherein the CDN real-time traffic log is generated by a CDN server; analyzing a plurality of dimension labels from the CDN real-time traffic log; for each label combination determined by the plurality of dimension labels, calculating the CDN real-time traffic log according to the label combination to obtain the peak traffic of the label combination; obtaining a CDN historical flow log, and calculating the baseline flow of the label combination according to the CDN historical flow log; and generating an alarm message of the CDN real-time traffic log according to the peak traffic of the label combination and the baseline traffic of the label combination, wherein the alarm message comprises the label combination and the peak traffic of the label combination.

The invention relates to the technical field of content distribution network resource management, and provides a resource scheduling method, device and equipment, a storage medium and a computer product, a service request is received, a feature vector of the service request is determined, and the feature vector represents the service processing complexity, the service quality level and the service weight factor of the service request; obtaining one or more of load information, performance information and fault information of the node to determine a computing power score of the node; and determining a resource scheduling strategy of the service request based on the feature vector and the computing power score. The computing power demand of the service request is measured from multiple angles, the computing power demand evaluation accuracy is improved, the resource scheduling strategy is determined based on the computing power demand of the service request represented by the feature vector and the computing power score of the node, the service computing power demand can be dynamically matched, and the resource scheduling efficiency is improved. The computing power score of the node is determined based on one or more of load information, performance information and fault information, and burst traffic and node state dynamic changes can be handled.

The invention discloses a park large-screen centralized management and control method and system of an intelligent large-screen management platform, and relates to the technical field of intelligent large-screen management, and the method comprises the steps: building the network connection between a platform and a large screen through the configuration of communication parameters and the input of large-screen equipment identification information, and completing the equipment access authentication through the network connection relation; collecting parameter information and an equipment operation state of the accessed equipment; based on the parameter information of the accessed device, setting a content distribution strategy of a display area, and executing format adaptation and split screen template configuration on the multi-format content; and receiving a voice instruction, completing user identity recognition, and executing alarm grading and display content adjustment according to the collected equipment operation state. According to the method, an access mechanism based on automatic matching of communication parameter configuration and equipment identification information is constructed, so that the access efficiency of heterogeneous large-screen equipment and the automation level of system deployment are effectively improved.

The invention discloses a back-to-source testing method, computer equipment and a storage medium, and relates to the technical field of content distribution networks, and the back-to-source testing method realizes active pushing of configuration information through a mode of sending complete configuration information to a source station server in advance before validity testing; therefore, after the source station server receives the back-to-source request of the target edge server, the configuration information carried by the back-to-source request can be finely compared with the configuration information stored in the source station server, and the back-to-source test result is fed back to the client in real time after the comparison is completed, so that the client can know the processing condition of the back-to-source request in time, and the processing efficiency of the back-to-source request is improved. And corresponding operation can be carried out in time according to the feedback result. In the whole back-to-source test process, tedious operations such as packet capturing by using a packet capturing tool at the source station server are not needed, the CDN configuration effective test can be rapidly and accurately completed, the whole test period is shortened through the rapid and efficient test process, and therefore the efficiency and quality of back-to-source test work are greatly improved.

The invention discloses an emotion response analysis and distribution system and method based on campus propagation, and relates to the technical field of information processing and emotion calculation. Comprising the following steps: acquiring a comment text, user feature information, user interaction information and a content topic label; performing emotion recognition on the comment text based on the user feature information, and performing correction in combination with a preset group weight coefficient to obtain a group characterization emotion value; constructing time sequence emotion data based on the emotion value and performing trend prediction to obtain a propagation popularity prediction result; constructing a propagation topological graph by using the user interaction information, and determining an opinion leader node and a key propagation path; calculating an emotion sensitivity coefficient of the topic, and generating a distribution priority matrix; and dynamically adjusting the rhythm and range of content distribution according to the priority matrix. According to the invention, the accuracy of campus public opinion perception and the timeliness of the distribution strategy can be improved.

The embodiment of the invention provides a live video processing method and device, equipment, a storage medium and a program product, and relates to the technical field of streaming media. The method is applied to playing end equipment, and comprises the following steps: separating audio and video data in a cache, marking key video frames in the audio and video data, and analyzing supplementary enhancement information in the audio and video data; the supplementary enhancement information at least comprises synchronous clock information, and the synchronous clock information represents the time when the anchor end equipment collects the audio and video data; adjusting a cache control state according to the supplementary enhancement information; the cache control state is used for indicating to cache or discard audio and video data sent by the content distribution network server; processing the audio and video data according to the current video first frame state, and decoding and playing the processed audio and video data; the video first-frame state is used for indicating a first-frame state or a first-frame-free state. The method is used for achieving the effects of reducing the live broadcast delay and avoiding the influence of large delay on the online interaction effect.

A Content Distribution Network (CDN) may implemented as a front door to a RAG-based LLM for the purpose of semantically caching LLM responses to natural language prompts. More specifically, the CDN may also cache document citation(s) and / or user tag(s) along with the LLM response for purposes of ensuring that access permission constraints of the RAG are observed when providing cached LLM response as direct responses to semantically similar natural language prompts. Additionally, the CDN may be configured to modify and / or purge cached data from the CDN's cached memory database based on instructions received from a data access control (DAC) entity of the organization or enterprise client. This may ensure that the CDN observes any changes to the access permission constraints that might be made by the DAC entity.

The invention relates to a front-end and back-end resource collaborative deployment method and device, equipment and a storage medium. According to the main technical scheme, the method comprises the steps that front-end resources of a front-end project are obtained and packaged, a static resource file is obtained, the static resource file comprises a composite version identifier, and the static resource file is uploaded to a content distribution network; associating the composite version identifier of the static resource file with a uniform resource locator of the content distribution network, storing the composite version identifier and the uniform resource locator in a distributed file database, and in response to starting of a back-end service, obtaining a target environment identifier and a target interface version number of an environment variable of the back-end service, the front-end resources and the back-end resources are cooperatively deployed on the basis of the composite version identifier, the target environment identifier and the target interface version number, and the front-end resources and the back-end resources can be accurately and efficiently deployed by storing the back-end resources matched with the back-end service to the isolated deployment path on the basis of the composite version identifier, the target environment identifier and the target interface version number.

Techniques are disclosed that relate to rate limiting network traffic at a content distribution network based on decisions provided by a rate limiter located on an on-premise network. A computer system may receive, at the CDN, network traffic requesting access to a service associated with an on-premise network. The computer system sends, to a second computing system deployed in the on-premise network, a request to decide whether to rate constrain the network traffic. The second computing system is configured to perform an analysis on the network traffic. In response to the request, the computer system receives a decision from the second computing system. The computer system implements the decision for the network traffic at the CDN.

The application discloses a low-power consumption security cache method and medium for Internet of Vehicles, and the method comprises the following steps: 1) building an edge cache system; 2) acquiring vehicle request data and determining vehicle request content preference; the request content preference comprises cache content and cache priority; 3) determining a content placement scheme of the edge cache system according to the vehicle request content preference; 4) acquiring content data from a content server by a macro base station and a roadside unit according to the content placement scheme; and 5) determining a content distribution scheme based on resource allocation according to the vehicle request data. The medium stores a computer program. The application significantly improves the power consumption of the system by jointly considering the cache scheme of vehicle preference, vehicle activity, content size and power and bandwidth allocation.

The invention relates to a PCDN optimization method and system based on intelligent scheduling and dynamic management, and belongs to the technical field of distributed computing and edge network scheduling. The method comprises the following steps: collecting hardware resource state data of a node, and generating a node resource scheduling signal through a content demand optimization scheduling algorithm in combination with a user geographic position and a content demand priority; constructing a multi-level cache priority system to distribute an optimal node matching and data transmission path according to the hotspot contents of different time periods and regions in combination with the content timeliness and the user access frequency; analyzing a dynamic relationship between each node load and a resource utilization rate through a path cross modeling scheduling method, and allocating an independent scheduling window; a point-to-point content distribution network authorization feature library is constructed to classify and identify node traffic, a stepped suppression strategy is executed on unauthorized traffic according to network real-time load, and traffic transmission is limited in low load and blocked in high load according to network node load conditions.

Techniques are described through which groups of individuals and / or other entities may interface with a data cloud blockchain network and / or cloud-based platform to collectively share data in a secure, controlled manner. Decentralized groups that are connected to the data cloud network may be registered and listed in a searchable directory. Entities that are interested in accessing data associated with a group may browse the directory, execute smart contracts within a blockchain, and track online content interactions of a group in a manner that does not compromise the anonymity of individual group members. Data usage and performance metrics may be tracked on the blockchain network using data cloud services, and the metrics may be written to distributed ledgers within the blockchain network. Smart contracts and chaincode within the network may initiate blockchain transactions based on performance metrics and / or other aspects associated with accessing information about a group.

The invention discloses a data access method, computer equipment and a storage medium, and relates to the technical field of content distribution networks, and the method comprises the steps that a center node matches an original resource URL carried by a resource access request with a banning rule item in response to the resource access request sent by a client; if the matching is successful, returning prompt information of forbidding access to the client; and if the matching does not succeed, correspondingly allocating a target edge service node to the resource access request, adding a device domain name and a legality verification parameter of the target edge service node to the original resource URL to obtain a target resource URL, and then sending the target resource URL to the client. According to the method and the device, the forbidding rule item is pre-stored in the central node of the CDN system, so that the system complexity is reduced, the implementation of forbidding in the whole data access process can be ensured not to cause burden to the CDN system, the forbidding is simple to implement, and the security of data access is also very high.

In particular, there is disclosed a player device (10, 10a, 10b, 10c, 10d) for participating to a synchronized group media playback in a group (210) of player devices (10, 10a, 10b, 10d), the player device (10) being configured to control at least one hardware media renderer unit (1), the player device (10) being configured to: receive, from a remote cloud backend system (4), an information (37a, 38) of being part of the group (210) in a same local network, and, once having received the information (37a) of being part of the group (210): participate to a primary election, among the group (210), the primary election electing a primary player device (10a), the remaining player device or player devices (10b, 10d) in the group (210) being defined secondary player device or secondary player devices (10b, 10d); in case of the player device (10) being elected primary player device (10a), receive media content (51, 51a) from a content distribution network (5, 5a) and retransmit the media content (51, 51a) to the secondary player devices (10b, 10d), and in case of the player device not being elected primary player device (10a) and therefore resulting a secondary player (10b, 10d), receive media content (51, 51a) from the primary player device (10a), both in case of being elected primary player device and in case of being a secondary player device, control the at least one hardware media renderer unit (1) to render the media content (51, 51a).

The embodiment of the invention provides a back-to-source request processing method, a content distribution network system and a back-to-source method, and relates to the field of financial science and technology and the field of distribution. The method comprises the following steps: receiving a back-to-source request sent by an edge node; judging whether the back-to-source request can be responded or not; responding to the back-to-source request under the condition that the back-to-source request can be responded, and pulling the static resource requested in the back-to-source request from the static resource storage device under the condition that the back-to-source request cannot be responded; and caching the pulled static resource, and responding to the back-to-source request based on the pulled static resource. By multiplexing server nodes, adding a layer of cache and realizing a double-layer cache strategy, after a back-to-source request of an edge node is received, the back-to-source request is responded based on a local cache, and when the back-to-source request cannot be responded, the back-to-source request is pulled from a static resource storage device, so that the performance pressure of a server side during edge back-to-source can be reduced in a high-access-volume system, and the performance of the edge back-to-source system is improved. And the availability of the server is effectively protected.

The embodiment of the invention provides a scheduling method, system and device, a computer program product and a storage medium. Content attribute description information and a charging-free bandwidth amount on each edge node in an access layer of the content distribution network are introduced as a scheduling basis, so that the scheduling capability of content granularity is realized in a control center of the content distribution network, and the edge nodes can refer to a scheduling range provided by the control center; dynamic networking is carried out on the content access request needing to be scheduled in the access layer, the response link generated by networking can fully utilize the charging-free bandwidth in the access layer, and the content hit rate of the content access request in the access layer can be fully guaranteed. Therefore, the charging-free bandwidth in the access layer can be utilized to realize the response to more content access requests in the access layer, so that the bandwidth use of a middle layer and a source station of the content distribution network can be effectively reduced, and the bandwidth cost in the content distribution network is reduced.

The present disclosure provides a content distribution network interconnection routing redirection method and device and related equipment, and relates to the field of computer networks and information technology. The method is applied to a content distribution network interconnection system, the content distribution network interconnection system comprises multiple downstream content distribution networks, and the method comprises the following steps: receiving a redirection request sent by a downstream content distribution network to be redirected; and sending a target service request to a target downstream content distribution network according to the redirection request, so that the target downstream content distribution network provides target services. The present disclosure allows direct cooperation between downstream content distribution networks, and can reduce the dependence on real-time scheduling of upstream content distribution networks.

The invention relates to a method for generating a content distribution scheme based on a large model, and the method comprises the steps: receiving a natural language instruction related to the content distribution scheme, enabling a pre-trained large model to analyze the natural language instruction to extract control parameters, and enabling the control parameters to at least comprise a scheme theme and resource scheduling limitation; analyzing semantic features of the scheme theme, and establishing a semantic mapping relationship between the semantic features and the attribute tags of the candidate objects to screen and obtain a target object set matched with the scheme theme; analyzing behavior interest characteristics of each object in the target object set, and constructing content distribution data for the target object set in combination with a scheme theme and resource scheduling limitation; and generating a content distribution scheme based on the target object set and the content distribution data, and executing a pushing task according to the content distribution scheme. According to the method and the device, a large-model-based content matching and distribution mechanism is used for replacing a tedious manual decision, so that human resources are effectively released, and the task execution efficiency is remarkably improved.

The invention provides a semantic understanding-based system intention dynamic guiding method, which comprises the following steps of: analyzing semantic connection in continuous consultation according to time period distribution and content overlapping description of a high-frequency problem, identifying topic switching frequency and association depth of students from dormitory allocation to military training grouping, and obtaining a structured association topic chain; performing optimization processing on the guide content set to obtain a standardized guide text library, performing priority ranking in combination with solution time consumption and question intervals, obtaining a ranked content distribution list through a comprehensive scoring mechanism, and determining a pushing opportunity; if it is detected that the resource pressure exceeds a threshold value due to sharp increase of the consultation amount in the peak period, the pushing frequency is adjusted according to the feedback channel and the repetition frequency, the content is adjusted to be a concise question and answer card, and an optimized distribution scheme is obtained.

The invention relates to the technical field of computers, and provides an edge calculation suppression method and device, equipment, a storage medium and a product. The method comprises the following steps: receiving full-quantity network data; determining a time dimension feature and a space dimension feature of the full-amount network data, and determining an abnormal data packet of the abnormal household equipment from the full-amount network data based on the time dimension feature and the space dimension feature; determining a flow sequence feature and a protocol mark feature of the abnormal data packet, and judging whether the abnormal household equipment has an abnormal content distribution behavior or not based on the flow sequence feature and the protocol mark feature; and if the abnormal household equipment has the abnormal content distribution behavior, starting an anti-edge computing firewall. Through the above mode, the manpower cost and the operation and maintenance cost of the operator side are reduced, the identification and control operation of the abnormal behavior are submitted to the user side, the intervention behavior of the operator side is reduced, and the user complaint can be effectively avoided.

The invention discloses a public network domain name shunting method and a communication system. Comprising the steps that an uplink classifier user plane function network element receives a DNS analysis request message initiated by user equipment, the message comprises a public network domain name to be analyzed, and a target IP address of the message is a first IP address; whether the public network domain name meets a DNS redirection rule is judged, if yes, the request message is sent to an intranet DNS server corresponding to the public network domain name, and a DNS analysis response message fed back by the intranet DNS server is received; and converting the analysis result from the second IP address to a virtual IP address according to a target IP address conversion rule, and sending a DNS analysis response message of which the analysis result is the virtual IP address to the user equipment. According to the method and the device, the technical problem that the common public network service cannot be normally accessed due to the fact that the same IP address is returned to two DNS analysis requests of the public network service shunted by the internal network and the common public network service by a content distribution network service provider is solved.

A content distribution facilitation system is described comprising configured servers and a network interface configured to interface with a plurality of terminals in a client server relationship and optionally with a cloud-based storage system. A request from a first source for content comprising content criteria is received, the content criteria comprising content subject matter. At least a portion of the content request content criteria is transmitted to a selected content contributor. If recorded content is received from the first content contributor, the first source is provided with access to the received recorded content. The recorded content may be transmitted via one or more networks to one or more destination devices. Optionally, a voice analysis and / or facial recognition engine are utilized to determine if the recorded content is from the first content contributor.