13results about How to "Maximize Bandwidth Utilization" patented technology

The invention relates to the technical field of data exchange, in particular to a TCP-IP protocol-based application program data interaction method, which comprises the following steps of: collecting a signal quality index of application program data in a physical layer, capturing signal quality data of each node through real-time network monitoring, and performing time sequence analysis; and extracting a signal quality trend and an abnormal point, and generating an initial signal analysis result. According to the invention, through real-time analysis and trend prediction, potential problems in the network path can be effectively predicted, network path optimization is realized, the data are analyzed through the reinforcement learning model, the network path is predicted and optimized in real time, the adaptive adjustment capability of the network is enhanced, and the data transmission efficiency is greatly improved. Through simulation testing and real-time monitoring, delay reduction of data transmission and bandwidth utilization maximization are ensured, and then through dynamic adjustment of the size of a TCP window, adjustment is performed according to real-time network congestion conditions, and the overall performance of the network is greatly optimized.

The invention discloses a high-frequency data remote transmission method and system, and the method comprises the steps: dynamically adjusting the collection frequency and mode according to environment conditions, and obtaining high-frequency data in real time; based on the data type and the transmission network state, a compression algorithm, a filtering mode and a coding strategy are automatically selected; the congestion condition of the transmission network is predicted through a built-in machine learning model, and a packaging strategy and transmission parameters are dynamically adjusted according to network conditions; in the data receiving process, the bit error rate in the transmission process is monitored in real time, abnormity in transmission is automatically detected, repair is carried out through an error correction algorithm, and if repair fails, the system automatically requests the data packet again; and the recovered high-frequency data is classified and stored according to the importance, real-time performance and storage cost of the data, and automatic storage strategy adjustment is realized in a remote database. According to the technical scheme, the high efficiency, reliability and safety of remote transmission of high-frequency data are improved.

The invention provides a multi-interface intelligent path selection network router, a system and a data transmission method. The method comprises the following steps: acquiring various attributes of an nth data packet transmitted by the multi-interface intelligent path selection network router; calculating a priority score Pntotal of the nth data packet transmitted by the router; the data packets are classified, and then FE interface transmission or GE interface transmission is selected for each data packet; performing path selection on the nth data packet when the nth data packet is transmitted at the GE interface or the FE interface by adopting an EMCP method; performing dynamic queue shaping, and adjusting a data packet transmission rate and a packet loss rate of each interface; and calculating and judging a data transmission quality index Uq of each interface, and judging whether queue overflow occurs or not so as to select another bandwidth interface to transmit a data packet. Through intelligent queue adjustment, the queue length is adjusted in real time according to the priority of the data packet and the interface processing capacity, and the flexibility and efficiency of data transmission are improved.

The invention relates to a dynamic channel adjustment method and system based on a SerDes high-speed serial communication link, and belongs to the technical field of communication links. The method comprises the following steps: acquiring a transmission signal, and obtaining a compensation transmission signal through a double-SRU neural network model according to the transmission signal; judging a feedback equalization model through two taps of a half-rate structure according to the compensation transmission signal to obtain a compensation full-rate signal; obtaining a self-adaptive equalization signal through a self-adaptive model according to the compensation full-rate signal; and obtaining a channel transmission signal through a filtering model according to the adaptive equalization signal. According to the invention, dynamic channel adjustment based on the SerDes high-speed serial communication link is realized, and the stability of signal transmission is improved.

The present invention discloses an air-space-ground-ground network traffic unloading decision method and system based on a graph neural network, which relates to the technical field of communication network optimization, and includes: receiving node-related data in an air-space-ground integrated network, dividing the node-related data into time windows, and performing feature extraction to obtain node feature data, wherein the node-related data includes node connection status data and real-time traffic data between nodes; inputting the node feature data into a pre-established graph neural network model GNN, encoding and aggregating the features of the nodes and edges, generating a representation vector for each node, training the GNN using the representation vector of each node, and obtaining a trained GNN; receiving the network status and node features in the air-space-ground integrated network, inputting them into the trained GNN, and outputting a performance prediction result, based on the performance prediction result, combined with multi-objective optimization technology, thereby achieving optimal traffic unloading of the entire network.

The invention discloses a cloud desktop scene-oriented available bandwidth estimation method and system and a storable medium. The method comprises the following steps of: sampling a bandwidth, capturing a link state at a current moment and performing statistical analysis; link evaluation: estimating a current available broadband value and guiding a video encoder according to a link evaluation result; feedback is adjusted, and the sending rate is adjusted to be matched with the load capacity of the current link. The method has the advantages of improving the link utilization rate and realizing high-precision and high-throughput bandwidth estimation on the premise of ensuring the advantages of light weight and low time delay based on the heuristic algorithm.

The invention discloses a port bandwidth allocation method and a related device, the method is applied to an embedded central processing unit of a switch chip, and the method comprises the following steps: polling and scanning Mac statistical data stored in the switch chip to obtain port load data, the Mac statistical data comprises a forwarding port of a message forwarded to each Mac address by a switch in real time and the size of the message, and the port load data comprises the real-time rate of each port; obtaining a bandwidth allocation strategy of a data path based on the port load data; and adjusting the bandwidth of each data path based on the bandwidth allocation strategy of the data path. According to the method and the device, the traffic load condition of each port can be monitored in real time and the bandwidth allocation of the data path can be dynamically adjusted under the conditions of relatively low resource occupation and relatively high processing rate, so that the bandwidth utilization rate of each data path is maximized, and the real-time performance and the effect of bandwidth allocation are effectively improved.

The application discloses a data transmission method, device, chip and electronic equipment. The method comprises the following steps: reading a first descriptor stored in a local device; generating a first data queue management strategy based on the first descriptor; reading local data and caching the local data based on the first data queue management strategy; generating a first data write request based on the local data, and sending the first data write request and the local data to a second interface of a remote device through a first interface, so that the remote device performs the following processing: generating a second data queue management strategy based on packet header information of the local data, caching the local data based on the second data queue management strategy, generating a first data write signal according to a preset parameter, and writing the cached local data into the remote device according to the first data write signal. The preset parameter comprises any one of the following: a preset data amount, a preset data aging time and a preset data type. In this way, the efficiency of point-to-point data transmission can be improved.

The application relates to the technical field of communication, and discloses a gateway data transmission method and device, a gateway and a storage medium. The method comprises the following steps: acquiring a communication response received through at least one preconfigured communication channel, and identifying the type and quantity of underlying devices currently accessed by the gateway based on the communication response; receiving and analyzing original data messages uploaded by the underlying devices to obtain state parameters representing current operating conditions of the underlying devices, and mapping the state parameters into structure variables according to a preset key data template; configuring the message length of a message data field according to the type and quantity of the currently accessed underlying devices, so as to fill the structure variables corresponding to the underlying devices into the message data field; and encapsulating the filled message data field into a complete actual message and sending the actual message to a control device in an uplink manner. The method can effectively improve the real-time performance of data transmission between the underlying devices and the control device.

This invention discloses a graphics processing unit (GPU), a task execution method, an electronic device, and a storage medium. The GPU includes at least a filtering calculation unit, an execution unit, a first data loading unit, and a second data loading unit. The first data loading unit loads execution data for a first filtering task and stores the execution data in a first buffer. The second data loading unit loads execution data for a second filtering task and stores the execution data in a second buffer. The execution unit filters target execution data that meets the full-load condition of the filtering calculation unit from the first and second buffers and transmits the target execution data to the filtering calculation unit. The filtering calculation unit performs filtering calculations on the target execution data. This invention maximizes the bandwidth utilization of the filtering calculation unit and improves the execution efficiency of the GPU's filtering tasks.

An adaptive link management method and system based on satellite mobile communication employs a PPP-based UDP protocol for initial link negotiation. Network address and other information are exchanged through link establishment request and confirmation signaling interactions. Network segment relationships are determined based on address information: GRE encapsulation with proxy ARP assistance is used for same network segments, while standard GRE encapsulation is used for different network segments. Link endpoint identifiers are negotiated and a bidirectional transmission link is established under the selected encapsulation mode. After link establishment, both parties periodically exchange keep-alive signaling to maintain connectivity. Simultaneously, the status of connected local access devices is monitored, and information is synchronized according to a preset period and / or status changes to dynamically update the transmission path and perform IP address conflict detection and handling. The transmission link is released normally through link release signaling. This scheme improves link adaptability and bandwidth utilization, effectively prevents address conflicts, and thus enhances network reliability.

The application belongs to the field of data security, and particularly relates to a multi-modal secure data transmission method and system based on differentiated code rate allocation. The method decouples the synchronously collected multi-modal data stream into a semantic primitive sequence, evaluates the semantic influence factors of each mode through a proxy model mask aligned with the backend secure recognition large model task, and extracts a task attention coefficient from the attention weight of the large model to generate a transmission importance coefficient. When the network bandwidth is limited and the time delay is high, the first deep compression strategy is performed on the lowest importance mode according to the transmission importance coefficient, the semantic redundant area is identified and compressed through cross entropy comparison for the high importance mode, and finally, the compressed data packet is added with a semantic label and a cross-modal identifier for priority queue scheduling and retransmission control, so as to maximize the secure recognition semantic throughput.

This invention discloses a SATA command acceleration system and method. The system includes a command queue, a DMA queue, a submission unit, a hardware resource management unit, and a DMA status queue, used to record the status of DMA tasks completed by the DMA engine. The firmware periodically processes commands in the command queue to configure corresponding DMA task descriptors in the DMA queue, and periodically queries the DMA status queue to determine the completion status of SATA commands. Thus, through hardware-coordinated management of the command, DMA, and status queues, the system reduces the real-time DMA transfer management task of the firmware, achieving automation and pipelined DMA transfer, thereby significantly reducing CPU load and improving data transfer efficiency and system response speed. It reduces firmware intervention in the SATA command transfer process, lowering CPU load; and through queuing and automation mechanisms, it achieves seamless DMA transfer, maximizing bus bandwidth utilization.