65 results about "End-to-end delay" patented technology

The invention provides a call center system and a multi-language intelligent voice translation method thereof. The method belongs to the technical field of artificial intelligence and natural language processing. The method comprises the following steps: carrying out multi-language interaction scene division on a call center system to generate scene classification data; a streaming processing assembly line framework is constructed; the continuous voice is dynamically fragmented into microsecond-level fragments, an ASR module is decoded in real time through an edge computing node, and initial text data is generated; and matching a context memory bank, extracting historical semantic vectors of the first five rounds, and generating a context enhanced text by joint coding. Obvious technical breakthrough and benefit improvement are realized through the technologies of streaming processing assembly line, context enhanced translation, seat correction instant learning and the like; the end-to-end delay is smaller than or equal to 1.5 s (P95), the delay problem in a traditional serial processing mode is greatly reduced, and the strict requirement for real-time interaction is met.

The invention discloses a GB / T28181 monitoring video stream efficient transmission and decoding method based on HTTP3 (Hyper Text Transfer Protocol 3) and electronic equipment. According to the method, the problems of high delay and high resource consumption of a traditional GB / T 28181 video monitoring Web end playing scheme based on WebSocket are solved by utilizing a new generation Web API (Application Program Interface) of WebTransport and WebCodec. According to the invention, through the UDP transmission capability of WebTransport based on HTTP / 3, the direct transmission of the RTP data packet from the server to the Web client is realized, and protocol conversion does not need to be carried out; the WebCodes is adopted to realize efficient hardware acceleration decoding of the client; and meanwhile, a multiplexing real-time monitoring and self-adaptive video quality control mechanism is provided. Compared with the traditional scheme, the method has the advantages that the end-to-end delay is remarkably reduced, the resource consumption of the server is reduced, the concurrency capability is improved, the video parameters can be dynamically adjusted according to the network condition, and the method is suitable for video monitoring application in various network environments.

The invention relates to the technical field of communication, in particular to a communication system fusing a Wi-Fi network and a TSN and a control method, and a wireless access point in the communication system is configured to obtain an actually measured signal-to-noise ratio, an MCS table and preset parameters; when the packet error rate is smaller than or equal to the target packet error rate, determining a target MCS in the MCS table; cr (MCSi) is obtained; obtaining Nmin (r); acquiring a Nud; if Nmin (r) is smaller than or equal to Nud, Qi is obtained; determining Nmin (r) first target time slots in the current communication period; and sending data to the gateway through the Nmin (r) first target time slots, the target MCS and the Ru of the ith specification. According to the scheme, jitter occurring at the moment when the data arrives at the gateway can be effectively reduced, so that the situation that subsequent data is blocked due to the fact that the cache space of the gateway is occupied is avoided, time delay generated by data transmission is avoided, and end-to-end delay is reduced.

The invention provides a multi-source data fusion state estimation method, device and equipment, and relates to the technical field of state estimation, and the method comprises the steps: S1, collecting original observation data from N heterogeneous sensors, writing a local hardware timestamp for each piece of original observation data, and converting the timestamp into a second timestamp under a unified reference time base through master-slave clock bidirectional synchronization to obtain an original data stream with a unified time scale. According to the multi-source data fusion state estimation method, device and equipment, sensor time delay is used as an explicit variable for online estimation, and late data is digested by using an independent compensation channel. The main filter always runs according to a high-frequency beat without pause and rollback, and the end-to-end delay of the system is less than 5 milliseconds; the sliding window can be dynamically expanded, the delay error is converged to a sampling interval through correlation sampling interpolation, and the state precision is improved by about 30% compared with that of a traditional loose coupling method.

The invention provides a perception adaptive video stream code rate decision-making method and system based on a neural symbol reinforcement learning buffer area, and belongs to the technical field of computer network and multimedia transmission. According to the method, a neural symbol reinforcement learning agent is constructed, a comprehensive state vector is generated by collecting a playing state, video content information and user preference, and double decisions of code rate selection and buffer area adjustment are jointly output; security rules are formalized in a first-order logic mode, security exploration is achieved through a security monitor and a security layer strategy, and illegal risks such as underflow of a buffer area are avoided; the bandwidth prediction precision is improved by adopting HTTP / 3 stable connection sampling and a hybrid prediction model; and designing a multi-target reward function to balance user experience quality and buffer occupation optimization. According to the method, high-video-quality, low-lagging and low-delay transmission can be stably realized in a low-speed to 5G high-speed network, and unnecessary buffer accumulation can be remarkably reduced on the premise of ensuring smooth playing, so that end-to-end delay is reduced.

The invention relates to a semantic-driven collaborative edge computing double-time-domain caching and computing power collaboration method and system, and belongs to the technical field of mobile communication and edge computing crossing. Aiming at the problems of black box of semantic fidelity, insufficient space coupling among multi-edge servers, difficulty in dual-time scale resource collaboration and the like in the collaborative multi-antenna semantic perception MEC system, the method comprises the following steps of: establishing an uplink MEC system model, and defining semantic perception QoE indexes of coupling semantic similarity and end-to-end delay; according to the method, an optimization problem taking long-term reward maximization as a target is constructed, an SCALE framework is designed, long-term cache placement is optimized by combining a DDPG agent enhanced by a long short-term memory (LSTM) network, and short-term semantic compression, task unloading, server allocation and joint power computing resource optimization are processed by a real-time PPO integrated decision RAPID algorithm. Simulation results show that the method is superior to an existing baseline scheme in the aspects of convergence speed, long-term reward, average QoE and cache switching overhead, and the system performance and the resource utilization rate are improved.

The application provides a target perception-based adaptive cutting transmission method for satellite-borne remote sensing images, and relates to the technical field of satellite remote sensing data acquisition and processing. The application changes the full-width transmission mode to only transmit the region of interest, greatly reduces the invalid data transmission amount, and effectively alleviates the bandwidth bottleneck of the satellite-ground transmission link. The end-to-end delay from the user's demand to the receipt of the target region data is significantly shortened. The traditional "full-width shooting -> storage -> transit transmission -> ground extraction" mode is changed to the "shooting and identification -> immediate cutting -> preferential transmission" mode, and the response speed in the emergency scene is improved.

The invention discloses a low-earth-orbit satellite communication network routing method based on reinforcement learning, and relates to the field of low-earth-orbit satellite communication networks in 5G NTN, in particular to the low-earth-orbit satellite communication network routing method based on reinforcement learning. The objective of the invention is to solve the problem that existing reinforcement learning Q-Learning applications are mostly focused on a ground network, and the unique dynamic topology and three-dimensional space routing problems of a satellite network are not solved. The invention provides a lightweight and adaptive low earth orbit satellite communication network routing optimization method based on reinforcement learning. The method is realized through distributed Q-Learning: dynamically adapting to topological change, dynamically adapting to three-dimensional space routing, balancing link load, minimizing end-to-end delay, and reducing on-satellite computing overhead.

The invention discloses a real-time audio and video end-to-end delay statistical method based on two-way time synchronization, and particularly relates to the technical field of real-time audio and video communication and network performance measurement, which comprises the following steps: S1, time synchronization: a plug flow client and a pull flow client respectively calculate clock skew with an SFU server through two-way message exchange; the method comprises the following steps: S1, a flow pushing end converts an acquisition timestamp and deviation into SFU reference time, and the SFU reference time and stage time consumption metadata are embedded into SEI information to be sent along with a video stream, S3, an SFU server forwards the video stream containing the SEI information, and S4, delay calculation and decomposition: a flow pulling end analyzes the SEI information, calculates total end-to-end delay in combination with the deviation of the flow pulling end, and decomposes the time consumption of each stage. Through high-precision time synchronization and time data losslessly carried by SEI information, non-intrusive, automatic, full-link-covered and decomposable end-to-end delay accurate statistics is realized, and the bottleneck problems that a traditional method is high in invasiveness, low in precision and incapable of positioning are effectively solved.

The invention discloses a video frame transmission method, a video frame packaging method, a video frame packaging system and a storage medium based on a private protocol and packet loss compensation, which are mainly applied to the field of professional video transmission with strict requirements on delay and reliability. The core of the method is as follows: a sending end encapsulates each frame of video into a UDP data packet sequence carrying frame-level global information and packet-level sequence information according to a private protocol; a receiving end carries out real-time packet loss compensation and frame recombination through CRC (Cyclic Redundancy Check) and an intra-frame adjacent effective packet data replication mechanism, and traditional retransmission causing high delay is replaced; the system adapts to a wireless network and a wired network at the same time, and supports dynamic MTU adjustment; according to the invention, the sub-frame level transmission with the end-to-end delay stability lower than 16.7 milliseconds is realized; the broadcast-level visual lossless quality can still be maintained in a 5% random packet loss environment; and through deep integration of a security mechanism and a transmission process, copyright protection requirements of HDCP2.2 and the like are met, and system processing delay and implementation complexity are remarkably reduced.

Disclosed is a network device (1) for packet switching in accordance with a bounded end-to-end delay. The network device comprises a plurality (11) of n first-in first-out, FIFO, queues, being servable in accordance with a round-robin based service policy and a fixed packet processing time (T) . A respective queue of the plurality is associated with a bounded delay (D max) depending on the service policy of the plurality of queues and being a function of an adaptable buffer capacity (B e) of the respective queue. The network device further comprises a processor (12) , being configured to determine a threshold crossing of an extent of reservation of the buffer capacity of the respective queue; and to adapt the buffer capacity of the respective queue in accordance with the determined threshold crossing. This enables network devices of a network to trade off QoS and capacity locally in a distributed manner, without a centralized controller.

The invention provides an end-to-end delay control method for industrial Internet of Things asynchronous burst service. The method comprises the following steps: acquiring a preset end-to-end delay upper bound of service flow in an industrial TSN network; determining a complete transmission path of the service flow from the source node to the destination node by adopting a bandwidth-delay balance algorithm; according to a delay budget allocation strategy, allocating a delay budget to each hop of the service flow on the path as a delay upper bound of a single hop; the sending node in each hop enqueues the data packet according to a rule; according to the queue data packet, a shaper based on delay budget is adopted to carry out dynamic shaping on each hop on the path, and delay control of each hop is completed; according to the method, the overall requirement of the upper bound of the end-to-end delay is decomposed to each hop, and the shaping rate is dynamically adjusted according to the flow change by introducing the shaping device based on the delay budget, so that the actual delay of each hop is not greater than the corresponding delay budget, and the real-time adjustment of the flow change and the guarantee of the deterministic end-to-end delay are realized.

The invention provides an intelligent control system and an edge controller for cloud edge end cooperation, and relates to the technical field of intelligent control. The edge computing node module is used on a network edge side close to a data source; the cloud infrastructure and network communication module is used for constructing a global intelligent center; the twinborn-driven dynamic scheduling sub-module is used for real-time mirroring and simulation prediction capability of a physical system based on a digital twinborn body; a data collaborative management module; the static attribute and dynamic state data of the physical system are comprehensively collected through the multi-source sensing technology, effective preprocessing is carried out, the situation that a large amount of original data are directly uploaded to the cloud end from the terminal to be processed is reduced, and the data processing efficiency is improved. The probability that the end-to-end delay is extremely high is reduced, the operation cost of the system is reduced, the network bandwidth pressure is reduced, and the data quality is improved.

The invention belongs to the technical field of wireless communication, and discloses a Wi-Fi communication parameter dynamic optimization method based on application state perception, which is applied to a wireless terminal STA side, and comprises the following steps: S1, multi-dimensional state perception and information collection are carried out, and state parameters from an application layer and a network environment layer are continuously acquired and fused in real time; and S2, generating an intelligent decision and collaborative optimization strategy, identifying a current application scene mode through a preset heuristic rule or a multi-target weight adjustment algorithm based on the multi-dimensional state information collected in the step S1, and dynamically generating a group of collaborative optimization Wi-Fi communication parameter sets. By deeply sensing the application state and carrying out collaborative optimization on a plurality of key parameters such as U-APSD, WMM QoS, data aggregation and the like, the end-to-end delay of real-time applications such as SIP conversation and the like can be optimized to a level far lower than a conventional reference value, meanwhile, high data throughput is maintained when needed, interaction fluency and user experience are remarkably improved, and the method has the advantages of being high in practicability and the like. And dynamic balance between ultra-low delay and high-performance throughput is realized.

This invention discloses a data processing device and communication method based on the open-source HarmonyOS and the StarScan communication protocol. The device employs the StarScan protocol, combining physical layer hybrid modulation adaptive switching, improved time-division multiplexing and carrier sense hybrid access, and a simplified protocol stack to achieve microsecond-level end-to-end latency and high anti-interference capability. An end-to-end security system is constructed through device pre-registration, elliptic curve key negotiation, AES-256-GCM encryption, and two-way certificate authentication. Standardized interfaces for multiple types of terminals are implemented with dynamic resource allocation, supporting hot-swapping and improving scalability. The D-S evidence theory is used to fuse verification results from multiple terminals, improving identification accuracy and anti-spoofing capabilities, while reserving emergency bandwidth and implementing priority scheduling to ensure anomaly handling. Automatic device discovery is achieved based on enhanced beacon broadcasting and sliding window detection, combined with improved on-demand distance vector routing for topology optimization, supporting dynamic networking and self-maintenance, reducing deployment and maintenance complexity.

The embodiment of the invention provides an unloading method and system based on a V2X network hybrid cloud side-end cooperative task. The method comprises the following steps: obtaining a hybrid cloud side-end cooperative task in a V2X network; wherein the tasks respectively carry attribute information; dividing the task based on the attribute information to obtain sub-tasks processed at different levels; on the basis of a resource competition relationship obtained by game theory negotiation layer modeling, carrying out resource allocation on the sub-tasks processed at different levels to obtain respective resources of the sub-tasks processed at different levels; wherein the resource competition relationship is the resource competition relationship among the vehicle, the side end node and the cloud; performing unloading strategy adjustment on the sub-tasks processed at different levels through deep reinforcement learning to obtain an adjustment result; and unloading the sub-tasks based on the adjustment result and the respective resources of the sub-tasks processed at different levels. According to the scheme, the end-to-end delay can be reduced, the energy consumption can be reduced, the task success rate can be improved, and efficient resource scheduling in the cloud edge-end collaborative environment can be realized.

The invention provides a large language model thinking chain reasoning acceleration method and system based on near memory calculation, a medium, a terminal and a program product, and the method comprises the steps: generating a root node of a tree reasoning structure and a corresponding key value pair according to input data, and writing the root node and the corresponding key value pair into an off-chip memory; loading a key value cache on a father node path corresponding to the child node from an off-chip memory or cache based on a cache management mechanism in the child node of the current tree reasoning structure; executing a linear calculation operation by using the Bank-level near-memory processing unit, and executing a nonlinear calculation operation by using the Rank-level near-memory processing unit, so as to generate a new token and add the new token into the generation sequence; and calculating the log-likelihood sum of the large language model generation sequence based on a log-likelihood prediction mechanism, and selecting the reasoning action with the highest log-likelihood sum to start the next round of reasoning execution. According to the method, the memory bandwidth utilization rate and the calculation parallelism can be remarkably improved, so that the end-to-end delay of complex reasoning of a large language model is greatly reduced.

The invention provides a dynamic navigation system with heterogeneous acceleration and time delay compensation, which adopts a layered distributed heterogeneous computing architecture, acquires data through a magnetic sensor array of a sensing layer, and realizes hardware synchronization and timestamp injection through an FPGA (Field Programmable Gate Array) of a synchronous control layer. And the data processing layer constructs a parallel contraction array by using DSP slices in the FPGA, and carries out hardware-level acceleration on a filtering algorithm. And the calculation layer dynamically compensates accumulated delay generated by the data in a full link through an integrated time delay compensation engine based on a hardware anchoring timestamp and a reverse kinematics model. According to the method, the problem of precision reduction caused by sampling jitter, communication fluctuation and system scheduling uncertainty is effectively solved, end-to-end delay is reduced, submillimeter-level dynamic positioning precision is realized, and the real-time performance, precision and robustness of the system in a complex dynamic environment are remarkably improved.

Disclosed is a network device (1) for packet switching in accordance with a bounded end-to-end delay. The network device comprises a plurality (11) of n first-in first-out, FIFO, queues, being servable in accordance with a round-robin based service policy and a fixed packet processing time (T). A respective queue of the plurality is associated with a bounded delay (Dmax) depending on the service policy of the plurality of queues and being a function of an adaptable buffer capacity (Be) of the respective queue. The network device further comprises a processor (12), being configured to determine a threshold crossing of an extent of reservation of the buffer capacity of the respective queue; and to adapt the buffer capacity of the respective queue in accordance with the determined threshold crossing. This enables network devices of a network to trade off QoS and capacity locally in a distributed manner, without a centralized controller.

The embodiment of the invention discloses a gateway request processing method and device based on Vert.x and Dubbo and a medium, belongs to the technical field of gateway construction, and solves the problems that in a high-concurrency scene, the number of concurrent connections of a single server of a gateway is difficult to effectively increase, and end-to-end delay is increased. Comprising the following steps: constructing an HTTP server as a communication entrance based on a Vert.x framework, receiving an HTTP request, and analyzing a message into a reference key value pair format based on a message format corresponding to the HTTP request; querying a local routing cache according to the request path, and determining a target Dubbo service and metadata corresponding to the path; based on the metadata of the target Dubbo service, asynchronously calling the message in the reference key value pair format to the target Dubbo service through a Dubbo generalization calling interface, and receiving an asynchronous return result; and converting the asynchronous return result into an HTTP response, and returning the HTTP response to the client through the HTTP server.

The invention discloses a data transmission optimization method and system for network platform service, and belongs to the technical field of communication. The method comprises the following steps: carrying out forward error correction coding on a to-be-transmitted original data stream by adopting a raph code algorithm to generate a coded data packet stream; sending the detection packet through a plurality of parallel physical links, and obtaining the real-time round-trip delay and packet loss rate of each link; calculating the transmission capability weight of each link according to the predicted bandwidth, the real-time round-trip delay and the service preference proportionality coefficient; distributing the coded data packet flow to a corresponding link for concurrent transmission according to the weight; and the receiving end stores the received data packet into the out-of-order recombination buffer pool, and dynamically sets the size of the sliding window according to the difference between the maximum round-trip delay and the minimum round-trip delay of each link. Through combination of forward error correction coding and dynamic weight scheduling, reliability and throughput of multipath concurrent transmission are effectively improved, end-to-end delay is reduced, and continuity of network platform service is guaranteed.

The embodiment of the invention provides a task processing method, electronic equipment, a storage medium and a program product. In the embodiment of the invention, after the terminal equipment triggers the task request, the plurality of intelligent task modules are scheduled to execute the sub-tasks in parallel, and the display sequence of the sub-task execution results of the sub-tasks is intelligently sorted in combination with the receiving time of the data blocks output by the plurality of intelligent task modules in the streaming manner and the streaming identifiers; according to the method, the terminal equipment can display the data blocks in the execution results of the sub-tasks in order, efficient, smooth and low-delay collaborative output experience of the multiple intelligent task modules is achieved, task processing efficiency is improved, end-to-end delay is reduced, and the overall resource utilization rate is increased.

The application relates to a delay-aware network slice orchestration method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring service requirement information of each network slice in a network slice set and edge device state information of an edge computing system; an end-to-end delay model is established according to the service requirement information and the edge device state information; a virtual network function mapping rule of the network slice, a mapping decision variable of a virtual network function to an edge server and an indication variable of a network node are determined; an optimization objective is set as minimizing average end-to-end delay; a slice orchestration optimization model is established according to the end-to-end delay model; the model is solved under system resource constraints; a joint optimization strategy of each network slice is obtained; and finally, each network slice is arranged and deployed in the edge computing system according to the joint optimization strategy. The method can reduce slice end-to-end delay and meet diversified service requirements of Internet of Things applications.

The invention discloses a Switch chip architecture supporting OCP OAM, and relates to the field of computer network and high-speed interconnection chip design. The architecture comprises at least one G-Link interface, a PCIe host interface, seven custom interfaces and a set of unified protocol stack architecture, wherein the G-Link interface is used for connecting a GPU / AI accelerator and is compatible with a PCIe protocol; the PCIe host interface conforms to an OAM (Operation Administration and Maintenance) specification; the seven custom interfaces are based on PCIe physical layers and can switch protocols; the user-defined protocol stack reduces the end-to-end delay to 40-60 ns by simplifying a transaction layer, optimizing link control and adopting a Root Complex-free topology and a local flit retransmission mechanism; the system supports the rate of 56-112 Gbps, supports star-shaped, ring-shaped and other flexible topologies, is compatible with PCIe ecology, and can significantly improve the bandwidth and real-time performance.

A method for calculating delay in a distributed antenna system includes sending a ping initiation message from a remote node to a host node in a distributed antenna system. The ping initiation message uniquely identifies a first communication port of the remote node to the host node with a unique identification. The method also includes receiving a ping reply message at the remote node. The ping reply message corresponds to the ping initiation message and also uniquely identifies the first communication port of the remote node with the unique identification. The method also includes determining, at the remote node, whether the ping reply message corresponds to the first communication port of the remote node based on the unique identification. The method also includes, when the ping reply message corresponds to the first communication port of the remote node, calculating the round-trip time delay between sending the ping initiation message and receiving the ping reply message at the remote node.

The application provides a hotel intelligent device networking method and a networking system, and relates to the technical field of device networking. The method comprises the following steps: a dynamic two-dimensional code for binding intelligent devices is published; in response to a binding request generated by a client according to the dynamic two-dimensional code, it is evaluated whether the current network state allows a new client to access; if so, the binding request is sent to each target device to associate the client with the target device; a control right end is determined according to a control request, and corresponding playing parameters are set according to the end-to-end delay between the control right end and each target device; and each target device is controlled according to the control request and the playing parameters. The application improves the convenience and security of networking through the binding request generated by the dynamic two-dimensional code; dynamically decides access permission, supports multi-device control while avoiding network overload; and sets playing parameters according to the end-to-end delay between the control right end and each target device to realize the reduction of multi-device audio and video synchronization errors.

The invention discloses a hybrid scheduling network performance evaluation method and device based on network calculation. The method comprises the following steps: acquiring a network traffic information set and a traffic transmission network information set; processing the network traffic information set and the traffic transmission network information set to obtain a blocking effect value caused by the CQF traffic to the non-CQF traffic; and processing the blocking effect value caused by the CQF traffic to the non-CQF traffic and the traffic transmission network information set to obtain the worst end-to-end delay of other traffic under the interference of the CQF traffic under the hybrid scheduling architecture.

The present application relates to the technical field of data transmission, and particularly relates to a low-delay control data transmission method for a multi-axis motion controller. The present application obtains a fast response urgency coefficient of a current moment according to the similarity distribution of historical time sequence transmission amounts among different types of data to be transmitted at the current moment, and the bandwidth value and bus load rate distribution at different moments; obtains a transmission speed-up tendency degree of the current moment according to the end-to-end delay length distribution at different moments and the fast response urgency coefficient of the current moment; obtains the necessity of asynchronous transmission of the current moment according to the packet loss rate distribution, the effective payload ratio distribution and the weight of the heavy object at different moments; and obtains the low-delay transmission demand degree of the current moment according to the necessity of asynchronous transmission of the current moment and the transmission speed-up tendency degree, and regulates the data transmission bandwidth. The present application improves the effectiveness of the bandwidth quota regulation of the controller data transmission by accurately analyzing the low-delay transmission demand degree of the current moment.

The invention discloses an AI accelerator optimization method based on a multipath kernel software stack and a system thereof, which are characterized in that a zero-copy, automatic reverse address mapping and dynamic load balancing method is adopted, high-compatibility accelerator access support is realized, efficient reasoning is realized through a double-path architecture, and the stability of the system is improved. The slow path calls a user mode accelerator library through a user mode daemon process to provide wide compatibility, the fast path realizes direct access of a kernel to an accelerator through a hijacking working environment, and zero-copy data transmission, automatic reverse address mapping, dynamic load balancing and a self-adaptive water level mechanism are introduced to further optimize memory management and task scheduling. Compared with the prior art, the method has the advantages that inherent delay and end-to-end delay of kernel machine learning reasoning are reduced, kernel-user space communication overhead is eliminated, system performance is remarkably improved, the problems of high reasoning delay and poor compatibility caused by the fact that an operating system kernel cannot directly access a hardware accelerator are solved, and the method has good application prospects.