7 results about "Content popularity" patented technology

The application discloses a kind of similar cache content dynamic placement method for mobile edge network, similar cache is introduced in cooperative mobile edge cache, and similar content different from content request can be delivered.First, solve the cache placement problem of highly dynamic content popularity and network connection state in similar cache.Then a kind of similar cache placement algorithm and similar content delivery algorithm based on counter multi-arm tiger machine are disclosed;The problem is modeled as a counter multi-arm tiger machine model;Select a pull arm, call similar content delivery algorithm to process requests, collect the cache reward of the current stage, return to the similar cache placement algorithm, estimate the reward and weight of the arm according to the reward, repeat execution until termination, and the algorithm can obtain an excellent cache placement scheme adapted to the current environment.Through the mode, the application can solve the similar cooperative cache placement problem existing in the prior art.

The invention provides a price calculation method and device and related equipment, and the method comprises the steps: determining a first revenue function corresponding to N content providers, the first revenue function being used for representing the sum of revenue of each content provider in the N content providers, the first revenue function is determined based on the content popularity corresponding to each content in the C contents, the preference degree of at least one user to each content provider and the content cache hit rate corresponding to each content provider; c is an integer greater than or equal to 1, and N is an integer greater than or equal to 1; based on the first revenue function and the sum of the storage amounts corresponding to the M network operators, determining a preset renting proportion of the base stations corresponding to the network operators; m is an integer greater than or equal to 1; and determining a preset renting price of the base station based on the preset renting proportion and a second revenue function, wherein the second revenue function is used for representing the sum of revenue of each network operator in the M network operators.

The media stream delivery system encodes and fragments media streams into numerous media stream fragments maintained on fragment servers. Devices obtain fragments to reconstruct media streams including live real-time media streams for playback on the devices. A device may perform caching of media stream fragments so that particular fragments need not be accessed again from a fragment server. A fragment server or even a content provider can analyze and monitor characteristics of media streams, viewing behavior, content popularity, etc., to identify fragments for caching at the playback devices. Caching indicators along with time period indicators may be included in the media stream fragments.

The invention discloses an ultra-high-definition digital media content distribution method and system based on fragmentation encryption and dynamic caching, and belongs to the technical field of digital media transmission and content distribution. The method comprises the following steps: encrypting an ultra-high-definition media master file, embedding a digital watermark bound with a terminal identity, and then segmenting the file into a plurality of encrypted fragments; the content popularity index is calculated through a metadata server, and the distribution and retention time of encrypted fragments in edge cache nodes are dynamically managed based on popularity, so that hot contents are widely cached, and cold contents are automatically recycled; and the authorized playing terminal downloads the encrypted fragments from a plurality of edge nodes in parallel, and completes decryption, watermark verification, recombination and playing in a local hardware security module or a trusted execution environment. According to the method, the optimal balance of safety, efficiency and cost in the ultra-high-definition content distribution process is realized, and the method has the advantages of full-chain copyright protection, flexible resource scheduling and high-quality playing experience.

The invention discloses a joint optimization method and system for a two-layer UAV-MEC network, and the method comprises the steps: collecting a historical request, and predicting a content request, and obtaining the popularity of the content; on a long-time scale, an upper-layer unmanned aerial vehicle selects a cache and a plan according to the content popularity, and puts the cache and the plan into an experience pool; in a short time scale, the lower-layer unmanned aerial vehicle performs local cache adjustment and unloading selection according to the content popularity, and puts the content into an experience pool; cVaR is introduced, time delay and energy consumption are combined, rewards are formed, and a unified target is constructed; and according to the experience pool and the unified target, carrying out centralized training and updating a multi-agent strategy, and issuing the multi-agent strategy to each unmanned aerial vehicle for execution. The system comprises an upper-layer unmanned aerial vehicle serving as an air small cloud server and a lower-layer unmanned aerial vehicle serving as an air base station. According to the method, the average time delay, the total energy consumption and the tail time delay risk of the system are minimized through collaborative decision making of two time scales. The method can be widely applied to the field of mobile edge computing.

The application claims a dynamic cooperative perception content deployment optimization method, belonging to the field of mobile edge network storage and content distribution, specifically comprising: an edge server collects historical traffic data of short video content, uses a GARCH model to extract volatility rate characteristics of the sequence, and inputs the same into a dynamic LSTM model with a fusion attention mechanism together with historical data to accurately predict content popularity at the next moment. On this basis, an edge controller monitors network link status in real time, dynamically calculates a cooperative radius based on network load to determine a cooperation range; then, combined with predicted popularity, neighbor node cache status and access time delay, the cooperative gain of content is calculated, and a hierarchical cooperative deployment strategy is used to store content decisions in local nodes or overflow to neighbor nodes within the cooperative radius. The application reduces service time delay in network congestion and traffic mutation scenarios, and realizes virtual expansion of edge storage capacity and improvement of cache hit rate through a neighbor cooperation mechanism.

The invention discloses a content collaborative caching method and system based on digital twinning, and belongs to the technical field of industrial Internet of Things. According to the system, an efficient content collaborative caching strategy is designed according to dynamic content request characteristics of the mobile terminal, calculation and storage resources of edge nodes can be fully utilized through global scheduling of a digital twin layer, the time delay and transmission cost of content acquisition of the mobile terminal are reduced, and the overall service quality and income of the system are improved. According to the method, a real-time interactive digital twinborn layer is constructed based on multi-dimensional data of a terminal and an edge, and real-time sharing of virtual data between different base stations and updating and maintenance of a digital twinborn model are realized; through organic combination of content popularity prediction and global collaborative caching decision based on digital twinning, a global optimal caching strategy is obtained. According to the method, the perception capability of global information can be enhanced, the reliability of system state synchronization is improved, the precision of the global digital twinborn model is improved, and the global optimality of a cache decision is ensured.