539 results about "Network link" patented technology

An apparatus to facilitate lossless and lossy automatic hardware compression in graphics-to-graphics network links is disclosed. The apparatus includes compressor / decompressor circuitry (CDC) integrated with physical layer (PHY) intellectual property (IP) hardware circuitry for a graphics processor unit (GPU)-to-GPU communication link communicably coupling a first GPU to one or more other GPUs, the CDC to: receive a data message from the first GPU, wherein the data message is in an uncompressed format; determine that a compression process is to be applied to the data message; apply the compression process to the data message to generate a compressed data message; and cause a GPU link IP hardware circuitry that comprises the PHY IP hardware circuitry to transmit the compressed data message over the GPU-to-GPU communication link.

The invention discloses a cloud collaborative docking station multi-link aggregation optimization method and system, and relates to the related field of data communication networks, and the method comprises the steps: a docking station collects state parameters of available network links in real time, carries out the application-level task recognition of a data flow, and obtains task features; uploading the link state parameters and the task features to a cloud control platform for link scheduling strategy analysis, and generating a link scheduling strategy; the edge agent completes decomposition processing of the task data according to a strategy to generate a task data packet; and the execution hardware performs aggregation according to link selection, fragmentation and scheduling strategies, records task completion quality, link performance and user experience indexes through the docking station, and returns the task completion quality, the link performance and the user experience indexes to the cloud control platform for iterative optimization. The technical problems of insufficient utilization of link resources, low data transmission efficiency and poor user experience in existing docking station multi-link aggregation optimization are solved, and the technical effects of fully utilizing the link resources and improving the data transmission efficiency and the user experience are achieved.

The invention relates to the technical field of wireless communication, in particular to a production line wireless communication system and method. The system comprises a multi-dimensional feature sensing module, an interference intelligent cognition and decision-making module, a communication opportunity decision-making module and a channel resource arrangement module. An expected action sequence, transient current features and spatial position topology of an interference source are collected through a multi-dimensional feature sensing module, and an interference source multi-dimensional feature set is generated through fusion; the interference intelligent cognition and decision-making module performs space-time spectrum joint modeling of an interference field based on the feature set, generates a workshop electromagnetic environment situation map, constructs a whole network link toughness map in parallel, and generates a conflict-free communication scheduling table through fusion analysis and multi-dimensional cost optimization; the communication opportunity decision module converts the dispatch table into an executable instruction; and the channel resource arrangement module executes the instruction and realizes closed-loop feedback. According to the method, the problem of communication uncertainty caused by industrial electromagnetic interference is solved, and reliable transmission of key services such as automatic guided vehicle scheduling and man-machine interaction is ensured.

The invention belongs to the technical field of network test equipment, and discloses network response test equipment and a test method thereof, and is characterized in that the network response test equipment comprises the following modules: a distributed multi-mode dynamic sensing probe used for capturing service flow characteristics and microsecond-level performance indexes of a network link in real time; the extensible data middle table is in data connection with the probe and is used for establishing a unified spatio-temporal index for cross-level performance data from a physical layer to an application layer; and the causal atlas analysis engine based on artificial intelligence is used for positioning a network fault root cause according to the cross-level performance data. According to the invention, an evaluation standard is automatically calibrated according to historical business load characteristics through an extensible data-in-station dynamic baseline threshold mechanism, so that a test environment completely fits complex scenes such as video burst frame transmission, database synchronization ACK, high-frequency transaction chain and the like, the simulation distortion of a traditional tool to business traffic burst and multi-protocol mixed characteristics is eliminated, and the test efficiency is improved. And the test result is ensured to accurately map the long-term stability requirement.

The embodiment of the invention provides a multi-camera video fusion method and system for a robot with a body and a storage medium, and belongs to the field of image processing. The method comprises the following steps: performing time and space alignment on images based on a vision and inertia alignment model to generate a unified aligned image sequence; extracting multi-scale image features based on the uniformly aligned image sequence, and constructing a cross-view residual image for guiding attention fusion operation to generate a fusion image; performing privacy area identification on the fused image, and performing shielding processing on a privacy area to obtain a privacy protection image; and performing semantic compression on the privacy protection image, adjusting an image frame scheduling sequence according to network link state information, and outputting a video signal for controlling a decision. The method is oriented to whole-process optimization of space-time alignment, cross-view fusion and privacy protection processing in the multi-shot image acquisition process of the robot with the body, and video signals for control are output in a self-adaptive mode based on the link state.

The invention relates to the field of multimedia communication and network control, in particular to an intelligent network control method for low-delay video return and related equipment. The intelligent network control method comprises the following steps: acquiring network key indexes including bandwidth, delay, jitter and packet loss rate of a network link in real time, and providing real-time network environment data support for transmission strategy adjustment. According to the method, an intelligent control mechanism combining network state perception and video content feature recognition is constructed, so that the technical problem of low-delay video return in a complex network environment is effectively solved. Specifically, key indexes of a network link are collected in real time, and a lightweight CNN model is introduced to analyze the video content activeness, so that dual perception capabilities for a network environment and content features are formed, data support is provided for dynamic adjustment of coding parameters, and accurate balance between video quality and network adaptability is realized.

The invention relates to the technical field of audio and video emergency transmission, and discloses an audio and video low-delay return method and system in an extreme environment. The method comprises the following steps: acquiring original multi-modal data of audio and video acquisition equipment in a target area, and analyzing a data state of the original multi-modal data; and meanwhile, available network transmission links are monitored, and the quality is evaluated. Self-adaptive coding parameters are generated in combination with the link quality and the data state, dynamic coding is executed on original data, and a coding stream suitable for redundant transmission is formed. And carrying out cooperative distribution transmission based on the network link set and the coded stream to generate return data. According to the generation process, a device and energy management instruction is formed and issued to the acquisition and relay device. According to the method, the network state and the content characteristics are optimized in a dynamic coding link in a collaborative manner, and the audio and video quality, the real-time performance and the system energy efficiency which are transmitted back in an extreme environment are improved through a feedback closed loop for transmitting a result to equipment management.

The present application relates to the technical field of communications, and discloses a path planning method and apparatus, a device, a system, and a storage medium. The method comprises: acquiring traffic prediction information respectively corresponding to at least one time period; and on the basis of the traffic prediction information respectively corresponding to the at least one time period and at least one selectable path respectively corresponding to each service, determining a target forwarding path of each service meeting path planning objectives. The path planning objectives comprise: the service traffic borne by any link in a hierarchical network in any time period is less than or equal to the bandwidth capacity upper limit of any link, load balancing is realized between multiple links connected to a same network node in the hierarchical network, and the transmission quality of the target forwarding path of any service meets a quality requirement of any service. Path planning of a global service is realized, network link congestion can be reduced, and better effects that load balancing between all network links is realized and a service forwarding path meets a service quality requirement are achieved.

The invention relates to the technical field of network communication, and discloses a ubiquitous network dynamic fair rate cooperative control method, which aims at link time varying, topology reconstruction and multi-source and multi-path concurrency characteristics of an air-space-ground-sea fusion network. A routing node periodically collects indexes such as a request satisfaction rate, a queue length and a multi-hop queuing-free proportion to obtain link transmission quality and dynamically update an interest packet forwarding table; deducing a queue upper limit, calculating a rate shaping value in combination with an interest packet forwarding proportion, and carrying out delayed transmission on an over-limit interest packet; when the interest queue exceeds a threshold value, a congestion feedback value is generated and goes down along with a data packet, and an uncongested interface obtains a release bandwidth through probability compensation; and if the whole path is still congested, the consumer multiplicatively shrinks the sending window according to the feedback proportion. According to the method, the throughput is remarkably improved and the queuing delay is reduced while fair allocation of bandwidth resources is ensured.

The invention discloses a video monitoring system based on multi-link redundant transmission and intelligent supplementary transmission, relates to the technical field of communication monitoring, and solves the problems that key frames are lost due to insufficient network link stability, transmission delay is uncontrollable due to bandwidth resource allocation rigidness, and the dependency relationship between complex systems is difficult to optimize in real time. The video monitoring system comprises a link transmission management module, an edge intelligent cache module, a dynamic supplementary transmission control module and an intelligent storage management module, the problem of network disconnection is solved through a camera device in combination with redundant backup of a cache time model, and meanwhile, automatic extraction and complementation are achieved through a protocol, and seamless connection is achieved; through memory redundancy two-stage storage, the hard disk writing speed is improved, and the blocking probability of video data is reduced.

The invention discloses a distributed data encryption transmission method and system, a storage medium and a program product, and the method comprises the steps: carrying out the layering and fragmentation processing of to-be-transmitted data, and obtaining a plurality of main fragments and a plurality of main fragment index tables; dividing each main fragment into a preset number of sub-fragments and generating a sub-fragment mapping table; generating verification data for each sub-fragment according to the data redundancy; the verification data and the corresponding sub-fragments are combined to generate redundant fragments; constructing a transmission control tree for each main fragment based on a network link state; generating node affinity according to the transmission control tree, and converting the node affinity into a time sequence key seed; performing encryption processing on the redundant fragments by using the time sequence key seed to generate a verification feature sequence; combining the redundant fragments with the verification feature sequence to form a transmission data packet; and transmitting the transmission data packet according to the node hierarchical relationship of the transmission control tree. According to the invention, the integrity and consistency of data fragmentation are improved, and the reliability and security of data transmission are further improved.

The invention discloses a data backup management system for communication, which belongs to the technical field of data management, and comprises an intelligent hierarchical backup module, a block chain security module, an AI resource scheduling module, a hybrid cloud backup module and an automatic fault processing module, the intelligent hierarchical backup module is used for dividing communication data into hot data, warm data and cold data according to the importance, use frequency and modification frequency of the data, and the block chain security module is used for generating a unique hash value for each backup data and recording the unique hash value on a block chain. The AI resource scheduling module is used for analyzing and learning historical backup data and operation records by using a deep learning algorithm, and the hybrid cloud backup module is used for combining a local data center and public cloud storage. And the automatic fault processing module is used for deploying the automatic fault detection module to monitor the running states of the backup server, the storage device and the network link in real time.

The invention discloses a heterogeneous network converged communication control method and system for a vehicle-mounted terminal, and relates to the related technical field of communication control, and the method comprises the steps: determining a plurality of original signal fragments transmitted to a receiving end by a plurality of heterogeneous networks based on the vehicle-mounted terminal; a vehicle-mounted terminal is provided with an intermediate fusion node, and the intermediate fusion node is provided with an interference detection module and a differential processing module; carrying out adaptive signal differential coding processing according to a synchronous receiving constraint condition of a receiving end and the plurality of link interference detection signals, and outputting a plurality of differential signal fragments; and respectively sending to a receiving end for signal restoration. The technical problem that in the prior art, when a vehicle-mounted heterogeneous network sends the same or fragmented signals at the same time, due to dynamic variation of network link interference and transmission delay difference of all paths, signals at a receiving end are out of step and quality is deteriorated is solved. The technical effects that the receiving end efficiently and synchronously restores the signal, and the anti-interference performance of signal transmission and the reliability of heterogeneous network converged communication are improved are achieved.

The embodiment of the invention discloses a data transmission control method and device, equipment and a medium, which can be applied to scenes such as intelligent traffic, auxiliary driving, cloud technology and artificial intelligence. The method comprises the following steps: in a process of transmitting service data through a first type of network link, obtaining a network quality index of the first type of network link; if the network quality of the first type of network link is detected to be lower than a preset quality threshold value based on the network quality index of the first type of network link, selecting a target transmission strategy from candidate transmission strategies based on the network quality index of the second type of network link, the candidate transmission strategies including independent transmission of the second type of network link; the second type of network link and the first type of network link transmit together; and switching the service data from the first type of network link to a target network link corresponding to the target transmission strategy for transmission. According to the technical scheme, the reliability of controlling data transmission is high, and the data transmission efficiency is improved.

The invention discloses a full-link analysis display method and device based on routing configuration, a medium and equipment. The method comprises the following steps: collecting and extracting equipment routing data; confirming the type of equipment routing data, and executing data cleaning processing according to the type of the equipment routing data; path acquisition is carried out based on the routing configuration information of the target assets, and three groups of network incoming link diagrams are respectively obtained; and sequentially splicing the Internet network inbound link diagram, the internal network inbound link diagram and the cluster network inbound link diagram to generate a hierarchical whole network link topological diagram, and performing front-end link display on the whole network link topological diagram. Visualization of various assets and internet access links in a virtualized network is realized, and in an actual application scene, problems can be quickly found based on the topological graph of the whole network links according to association of the collected equipment routing data and the security events, the influence range is positioned, and the security response efficiency is improved.

The present disclosure provides a search engine optimization (SEO) system comprising a remote server. The remote server comprises a memory with a set of executable routines and a search engine database with multiple fields of applications, each associated with multiple URLs indexed with a user engagement matrix, written data, and a search engine ranking. A processor acquires a web link from a computing device, extracts textual content, analyzes relevancy, and retrieves relevant URLs. The processor evaluates a thematic score, a readability score, and an emotional tone data using NLP techniques, analyzes written data of each URL to determine a topic weight, a legibility weight, and a sentiment tone data, develops a machine learning model, applies the model to recommend content alterations, and renders the alterations at the computing device.

The invention discloses a double-high power distribution network harmonic collaborative governance method based on cloud edge collaboration and dynamic partitioning, and belongs to the field of power harmonic governance, and the method comprises the steps: constructing a time-varying harmonic collaborative governance architecture based on cloud edge collaboration, which comprises a cloud server, an edge server and governance equipment; constructing a derivative network link matrix; an observation node is selected by adopting an improved PageRank algorithm based on a derivative network link matrix; according to the harmonic state of the observation node and the state information of the governance equipment, a two-stage dynamic partitioning method is adopted to realize dynamic partitioning of a governance area of the governance equipment; a multi-time scale cloud edge collaborative optimization governance strategy is adopted to optimize governance parameters based on a dynamic partitioning result; and based on the treatment parameters of the long time scale, an improved NSGA-II multi-objective optimization algorithm is adopted to further dynamically correct the treatment parameters on the short time scale, and based on the treatment parameters optimized by the cloud server in the multi-time scale, the edge server controls the treatment equipment to realize time-varying harmonic collaborative treatment according to the treatment parameters. According to the invention, decentralized, whole-network and time-varying wave efficient, real-time and collaborative treatment of the double-high power distribution network can be realized.

The invention discloses a multi-protocol adaptive Internet of Things device communication management method and system, and relates to the technical field of Internet of Things device communication management, and the method comprises the steps: capturing an original message sent by a source device through a communication management node disposed at an edge side when an Internet of Things device initiates a communication request, obtaining a source device identifier, a target address and a transport layer protocol type of the original message; identifying a used application layer protocol according to the structural features and the communication context of the original message, extracting an operation intention contained in the original message, and generating a standardized semantic feature vector; on the basis of the difference degree between the standardized semantic feature vector and semantic feature vectors of other protocols, initial compatibility scores among the protocols are determined, and a communication topological graph is constructed in combination with real-time delay and node resource states of network links; and continuously recording communication execution results of different protocol pairs on each node, and generating a dynamic memory factor according to the change trend of the execution results.

The invention relates to an intelligent ship network optimization method, system and device based on multi-link convergence and a medium. The method comprises the following steps: firstly, acquiring multi-network link connection parameters of the intelligent ship, constructing an adaptive environment, modifying a protocol stack, and integrating a physical link into a virtual link to realize resource convergence; and based on the real-time parameters of the virtual link and the physical link, dynamically distributing traffic by adopting an improved aggregation protocol, and generating a load balancing scheme. And then, regularly sending a detection packet quality index, and predicting a link quality trend in combination with historical data and navigation longitude and latitude. And finally, dynamically adjusting flow distribution according to a prediction result, an application real-time demand, a bandwidth demand and a current position tariff characteristic, and generating a ship-shore communication scheme considering both efficiency and cost. By adopting the method, the stability, reliability and economy of ship-shore communication of the intelligent ship can be effectively enhanced, and the method is suitable for multi-scene network monitoring optimization.

The invention discloses an ultra-low delay live broadcast method, system and device based on edge calculation, and a medium, and relates to the technical field of real-time audio and video interaction. The method comprises the steps that a target edge computing node receives an original media stream; monitoring an uplink network link and a downlink network link of the anchor end and the target edge computing node in real time, and determining a network link quality parameter; acquiring a historical network link quality parameter, and setting a link degradation standard and a link excellent standard according to the historical network link quality parameter; determining a target compensation strategy according to the network link quality parameter, a first preset condition and a second preset condition; and the target edge computing node processes the original media stream by adopting the target compensation strategy to generate a compensated media stream, and forwards the compensated media stream to a receiving end. By adopting the scheme, the overall performance of ultra-low delay live broadcast can be improved.

The invention relates to the technical field of networks, in particular to a network monitoring method, device and equipment and a program product. The method comprises the following steps: acquiring a first network data flow of a target network link in a first time period; based on the first network data flow, determining a frame extraction frequency corresponding to a second time period, the first time period and the second time period being adjacent to each other; extracting a link tracking frame from the target network link in a second time period based on the frame extraction frequency; and monitoring the network state of the target network link based on the extracted link tracking frame. According to the invention, the frame extraction frequency of extracting the link tracking frame from the target network link is flexibly adjusted, the flexibility and adaptability of network monitoring are improved, and the network state of the target network link is detected more accurately.

The invention relates to a robot control technology, and discloses a robot cluster control method and system and a storage medium, and the method comprises the steps: receiving motion state data, network link state data and service type information of each robot; predicting a motion track of each robot in a future preset time period based on the motion state data in combination with a digital map, and predicting a communication quality change trend of a current network link of each robot in the future preset time period based on the network link state data; determining a target network link of each robot based on the motion trail, the communication quality change trend, the digital map, the service type information and the received node operation state information of each edge relay node, and generating a network switching instruction containing the target network link and the switching opportunity, and the corresponding robot executes network link switching according to the network switching instruction. According to the invention, global prediction and active switching of robot cluster communication can be realized.

The embodiment of the invention provides a data migration method, system and device of a virtual machine and a storage medium, and relates to the field of computers.The data migration method of the virtual machine comprises the steps that a first virtual machine with the resource load higher than a first threshold value is determined from multiple virtual machines, at least one candidate virtual machine with the resource load lower than a second threshold value is determined from the multiple virtual machines, and the first threshold value is higher than the second threshold value; determining a second virtual machine for data migration from the at least one candidate virtual machine by using first resource data and service data of the first virtual machine, second resource data of the at least one candidate virtual machine and network link data between the first virtual machine and the at least one candidate virtual machine; and transmitting the data of the first virtual machine to the second virtual machine.

Examples of the present disclosure provide a method and a device for forwarding a data flow, an SDN controller and a storage medium. The method is applied to the SDN controller, and includes: acquiring task information of an AI training task, wherein the task information comprises a communication model of the AI training task, an address of a source task node and an address of a destination task node, and the communication model is to indicate an AI training data transferring relationship between the source task node and the destination task node; selecting a forwarding path between the source task node and the destination task node based on topology information of a network and the communication model, wherein the topology information includes a topology structure, a link state and a utilization rate of link bandwidth; configuring a forwarding flow table to each forwarding node on the forwarding path, causing the each forwarding node to forward a data flow of the AI training task from the source task node to the destination task node along the forwarding path based on the forwarding flow table. This solution can realize a traffic balance on whole network links, improve the network throughput and improve performance of AI cluster service.

The invention provides an ad hoc network and 5G network intelligent fusion handheld terminal and a switching strategy method. The handheld terminal comprises an ad hoc network module, a 5G module, a network detection module, a service extraction module, a power management module and a switching decision module. The ad hoc network module provides an ad hoc network communication link; the 5G module provides a 5G communication link; the network detection module periodically monitors the channel quality of the 5G link and the ad hoc network link; the service demand extraction module is used for determining whether to perform channel switching immediately or not according to the influence degree of the channel switching on the application for different service types; the power management module monitors the residual electric quantity of the equipment in real time; and the switching decision module automatically selects to switch an ad hoc network or a 5G channel according to factors such as link quality, battery power and service types. According to the invention, seamless, efficient and intelligent switching between the ad hoc network and the 5G network is realized through the ad hoc network + 5G fusion design and the switching strategy, and the communication effect and the user experience of the handheld terminal are improved.

The invention discloses a network security-oriented abnormal traffic identification processing method. The method comprises the following steps of: constructing a traffic baseline model of target network link access equipment in different scenes and time windows based on historical traffic data; collecting flow characteristic data and bandwidth characteristic data of the equipment in real time, comparing the data with the flow baseline model, and identifying abnormal equipment through the baseline deviation degree; the content type is identified by using URL classification and deep packet inspection technologies, and the destination and the anomaly degree of the abnormal traffic are determined in combination with the attribute and traffic consumption of the known type of content and the traffic consumption and bandwidth occupation duration of the unknown type of content; and generating a detection report and pushing the detection report to an administrator terminal. Through scene-divided and multi-dimensional dynamic baseline modeling and flow feature and bandwidth feature fusion collaborative analysis, abnormal equipment and flow are accurately identified, the misjudgment rate is reduced, the network security operation and maintenance efficiency is improved, and the method is suitable for abnormal flow monitoring of various network environments.

The invention discloses a GPU cluster and a communication method, the GPU cluster comprises at least two servers, two paths of accessories are configured in each server, each path of accessory comprises a plurality of GPUs, and in the accessories, the plurality of GPUs communicate through a first communication link; in each server, the GPUs on the two paths of accessories are in one-to-one correspondence, each group of corresponding GPUs communicate through the second communication link, GPU model selection does not need to be limited, and low-cost general GPUs can be used; two independent annular communication links are formed between the at least two servers; and in any link, data flows into the server through the high-speed network link, alternately flows through the second communication link and the first communication link so as to transmit the data to each GPU, and flows out to the next server through the high-speed network link until communication of all servers on the link is completed, so that improvement of the GPU cluster communication bandwidth is realized.

The invention discloses a network data quality evaluation method and system and a related device, relates to the field of Internet, and is applied to a network data quality evaluation system, and the method comprises the steps: obtaining at least one data packet of a session in a network link through a bypass technology; respectively storing the at least one data packet into a plurality of first queues according to streams, analyzing the at least one data packet, and scheduling the at least one data packet to a second queue according to the streams after the at least one data packet is analyzed; obtaining the data packet from the second queue, and updating the record content of the flow table according to the analysis information of the data packet; when the data transmission in the session is finished, the recorded content of the flow table is analyzed, and the integrity of the session is determined; and determining the quality of the session for transmitting the data packet by using the network link according to the integrity of the session. According to the application, the data packet is obtained through the bypass technology mirror image, the data packet is stored according to the stream, the integrity of the session is determined by analyzing the recorded content in the stream table, and the evaluation of the network data quality is realized.

The invention discloses a gray fault processing method and device, a medium and a program product, and relates to the technical field of detection, and the method comprises the steps: collecting the performance data of all server nodes; according to the performance data of all the server nodes and the graph neural network model, detecting the server nodes with gray faults in the server cluster; in response to the grey fault of any server node in the server cluster, verifying the grey fault of the first server node through a single-node grey fault detection algorithm; determining a target migration server node through a server node health scoring mechanism and a topology model of a network link in response to the fact that the gray fault verification of the first server node is correct; and migrating the calculation task of the first server node to the target migration server node. According to the method, the gray fault in the server cluster is detected, the gray fault detection speed and accuracy are remarkably improved, the requirement of manual detection is reduced, and the reliability of the whole system is improved.

The invention discloses a multi-network integration intelligent route selection method and system based on multi-dimensional dynamic evaluation, and the method comprises the following steps: S1, network communication hardware of equipment collects the signal intensity and signal quality parameters of GEO, LEO, Beidou short messages and 4G / 5G network links in real time, and transmits the parameters to an intelligent route selection decision engine module; by introducing the multi-dimensional dynamic weight evaluation model and the intelligent route selection decision engine, parameters such as signal strength and signal quality of multiple network links such as GEO, LEO, Beidou short messages and 4G / 5G can be monitored in real time, the optimal network link is automatically selected as an internet access channel in combination with data size and tariff standards, and the network access efficiency is improved. Therefore, optimal configuration of network resources is realized, the quality and efficiency of network connection are improved, and the use cost of a user is reduced.