148 results about "Bandwidth distribution" patented technology

The invention discloses a dynamic bandwidth allocation method and system based on a large model, electronic equipment and a medium, and relates to the technical field of network communication, historical flow data and multi-modal data are modeled and fused by using a pre-training architecture of ChatGLM3, so that fusion features are generated. Based on the fusion features, the system can predict future traffic demands. By defining a dynamic priority adjustment mechanism and combining a flow prediction result, the system realizes multi-service dynamic adjustment and efficient bandwidth allocation; meanwhile, a constructed flow anomaly detection mechanism can monitor flow changes in real time, and the priority of abnormal services is improved; in addition, a global resource optimization strategy ensures comprehensive scheduling of bandwidth resources in the network, and the benefit of bandwidth allocation is measured based on a utility function; the invention provides an intelligent method, so that network resources can be flexibly configured under various service requirements, and the overall service quality and network performance are improved.

The invention relates to the technical field of remote control, in particular to an electrical automation remote control system which comprises an energy receiving and converting module, a dynamic network management module, a node fault diagnosis module, an energy distribution control module and a remote control execution module. According to the method, communication quality is optimized through signal fluctuation analysis, data packet routing and bandwidth allocation are dynamically adjusted, accurate transmission of remote control instructions is ensured, network structure is optimized through real-time network flow analysis, congestion is reduced, transmission efficiency is improved, fault diagnosis is carried out according to a load adjustment result, accurate identification, automatic isolation and routing reconstruction are achieved, and the method is suitable for large-scale popularization and application. And energy management dynamically adjusts energy output based on node supply and demand, ensures stable operation of key nodes, optimizes energy utilization, combines remote control execution with real-time monitoring, ensures accurate instruction issuing, and improves reliability and safety of remote control.

The present application relates to the technical field of large-scale data processing, and particularly relates to a parallel computing method and system suitable for large-scale data processing. The system comprises a task management unit, a distributed load balancing module, an elastic expansion architecture, an intelligent communication optimization module, and a resource monitoring unit, wherein the task management unit divides large-scale data into a plurality of sub-tasks by means of a task decomposer, and distributes the sub-tasks to computing nodes by means of a task scheduler and a priority distributor; the distributed load balancing module achieves global load balancing by means of a load sensing unit, a dynamic adjustment unit and a balance optimization unit; the elastic expansion architecture dynamically adjusts system resources by means of a node manager, a resource pool controller and an expansion decision-making device; the intelligent communication optimization module optimizes inter-node communication by means of a communication path planning unit, a bandwidth distribution unit and a delay compensation unit; and the resource monitoring unit monitors the system performance in real time by means of a performance collector, a state analyzer and an anomaly detector.

The invention relates to the technical field of data transmission, and discloses a flight data transmission method and system based on wireless communication and a storage medium. The method comprises the following steps: carrying out edge calculation noise reduction and data fusion processing on multi-source sensing flight data to obtain preprocessed transmission data; performing distributed cache node fragmentation and data synchronization processing on the preprocessed transmission data to obtain multi-source communication data; performing WiFi, 4G / 5G and satellite communication resource bidding and bandwidth allocation processing on the multi-source communication data to obtain priority network data; performing hierarchical network coding and transmission redundancy processing on the priority network data to obtain coded transmission data; and carrying out cloud edge cooperative decoding and data recovery processing on the coded transmission data to obtain transmission flight data. According to the invention, reliable transmission of flight data in a complex flight environment is realized, and the technical problems that an existing single communication mode is liable to be interfered and data transmission is unstable are solved.

The invention discloses a GPU Box hardware decoupling system based on a Retimer card and a PCIe Switch chip, and belongs to the technical field of computer hardware architecture and high-speed interconnection. According to the system, a Retimer card and a PCIe Switch chip are integrated in an independent GPU Box, and a decoupling link of a CPU server and a GPU acceleration card is constructed; the Retimer card realizes 30-meter long-distance PCIe signal transmission and breaks through physical distance limitation; the PCIe Switch chip pools GPU resources through a dynamic routing and MRIOV technology, supports flexible allocation of computing power by multiple servers, and realizes Peer-to-Peer direct connection communication between GPUs. Aiming at a large model reasoning scene, the system optimizes KV cache bandwidth allocation and video memory and memory cooperative scheduling, so that the 100B parameter model reasoning throughput is greatly improved; and meanwhile, the usability of the system is greatly improved through fault isolation and hot plug design. According to the method, the problems of physical binding of the CPU and the GPU, limited transmission distance, rigid resource allocation and the like in a traditional architecture are solved, and the method is suitable for large-scale AI calculation and distributed GPU cluster deployment.

The invention discloses a PCIe bandwidth allocation device and electronic equipment. A card type judgment module in the allocation device is connected with a PCIe slot and a switching circuit; the switching circuit is connected with the N memories; and a PCIe card is inserted into the PCIe slot. The card type judgment module generates a second signal according to a first signal from the PCIe card and sends the second signal to the switching circuit, the first signal indicates that the card type judgment module determines the type of the PCIe card, and the second signal indicates that the switching circuit determines the type of the PCIe card. And the switching circuit selects a target path according to the type of the PCIe card, so that the memory corresponding to the target path configures the bus mode of the PCIe to be the bandwidth allocation mode corresponding to the type of the PCIe card. Therefore, under the condition that the hardware structure of the board card does not need to be changed, a set of system of the electronic equipment can adapt to different types of PCIe cards and distribute corresponding bandwidths for the PCIe cards.

The invention provides a multi-channel collaborative acceleration method for data processing and transmission of a set top box, which relates to the technical field of data processing and comprises the following steps of: sending a data request to an edge node closer to a user for primary processing by adopting an edge computing and photon computing technology and utilizing a distributed edge computing node and a photon computing unit; meanwhile, processing of high-resolution videos is accelerated through a photon computing technology, so that the set top box can quickly respond to a request of a user, smooth user experience is achieved, delay of video and audio data is reduced, independent network resources are allocated for different types of data streams through a network slicing technology of a 5G / 6G network, and the network efficiency is improved. The quantum key distribution provides powerful data encryption protection and ensures the data security in the transmission process, and the network slicing technology ensures the priorities and bandwidth allocation of different data streams, improves the transmission reliability, reduces packet loss and delay, and ensures the stable transmission of data in the network.

The invention relates to the technical field of machine learning, and particularly discloses a spatial local XGBoost machine learning model based on multi-scale geographic weighting, and the model comprises a feature decoupling module which is used for constructing a two-channel input structure of geographic features and non-geographic features, and achieves the feature decoupling and fusion through a multi-scale spatial weight matrix; the bandwidth allocation module dynamically determines the bandwidth scale in the XGBoost tree splitting process, and establishes a dynamic weight bound by tree levels; the constraint gain module generates split points with scale marks; a contribution decoupling module extracts split features and associates geographic and non-geographic features to realize salinization prediction and contribution index extraction; and the verification optimization module optimizes model parameters through a multi-scale thermodynamic diagram and spatial autocorrelation analysis. The model can capture geospatial effects of different scales, improves the spatial local prediction precision, and is applied to soil salinization analysis scenes with spatial heterogeneity.

The invention relates to the technical field of micro-grid node bandwidth regulation and control, and discloses a wireless bandwidth regulation and control method and system for micro-grid intelligent grid connection, and the method comprises the steps: collecting the power parameters and bandwidth data of a grid-connected node of a micro-grid, analyzing the power parameters and bandwidth data of the grid-connected node, and obtaining an analysis result; the wireless communication environment is monitored in real time, the transmitting power and the signal frequency are adaptively adjusted, the optimal path is selected for information communication, energy supply and allocation are adjusted according to load changes, the node bandwidth is optimized through wireless communication feedback, and the bandwidth is regulated and controlled; dynamic bandwidth allocation is achieved, it is ensured that the network can still operate stably when the load is high, and the bandwidth is adjusted in real time according to the network load and the priority.

The invention discloses a bandwidth allocation method, a module, a server, an electronic device, a medium and a product, and relates to the technical field of servers, and the method comprises the steps: writing a gating signal into a switch chip in response to a platform controller center, and controlling the output end of the switch chip to be connected with the input end of the switch chip corresponding to a target root port of a central processing unit; wherein the target root port of the central processing unit is the root port of the central processing unit corresponding to the gating signal; the input end of the switch chip is connected with a bandwidth distribution signal line of a root port of the central processing unit; an output end signal of the switch chip is obtained through an input and output interface of the platform controller center, and bandwidth allocation is carried out on the root port according to the bandwidth allocation relation between the output end signal of the switch chip and the root port. According to the bandwidth allocation method provided by the invention, the bandwidth allocation function of the PCIe port of the CPU can be realized by using fewer input and output interfaces.

The invention discloses a credit value optimization method for a credit-based shaper in a time-sensitive network, which belongs to the field of communication and comprises the following steps of: monitoring a time-sensitive network link in real time to obtain link load, frame waiting time and flow priority information; if the link load reaches a preset threshold, dynamically adjusting the recovery rate of the CBS credit value, and accelerating the recovery of the credit value by adjusting idleSlope; performing adaptive optimization calculation on idleSlope by using a heuristic algorithm in combination with dynamic changes of link load and frame waiting time; priority management is carried out on the AVB flow, priority transmission of high-priority flow is ensured, and waiting time of the AVB flow is reduced in a mode of accelerating credit value recovery. Parameters such as frame waiting time and the like are introduced on the basis of logic bandwidth allocation, and a new credit value reply mechanism remarkably reduces AVB stream transmission delay and increases the bandwidth utilization rate.

The invention discloses a port bandwidth allocation circuit and method for PCIe equipment, the circuit comprises at least one CPU and a plurality of corresponding ports, the ports are inserted into the PCIe equipment through a socket circuit, the port bandwidth allocation circuit further comprises connectors connected with the ports, when the socket circuit of each port is inserted into the first PCIe equipment or the second PCIe equipment, different levels are output at the in-place detection end, and when the first PCIe equipment or the second PCIe equipment is inserted into the second PCIe equipment, different levels are output at the in-place detection end. When the second PCIe equipment with different bandwidth allocation modes is inserted, different voltage division circuits are formed, and the equipment detection signal end outputs different level voltages; the connector is used for detecting an in-place detection signal and an equipment detection signal and sending the signals to the CPU; and the CPU allocates the port bandwidth of the PCIe equipment according to the in-place detection signal and the equipment detection signal of each port. Therefore, the problem that IO resources are wasted by adopting dynamic bandwidth allocation or a fixed bandwidth allocation mode is not flexible in the prior art is solved.

The invention relates to the technical field of image transmission, in particular to a remote image transmission system and method based on a compression algorithm, and the method comprises the steps: 1, image blocking and feature extraction; 2, performing block importance dynamic classification; 3, differential compression and layered packaging are carried out; 4, channel adaptive transmission control: dynamically adjusting a transmission strategy according to a real-time channel bit error rate, and when the bit error rate exceeds a threshold value, pausing non-key data layer transmission and migrating non-key blocks to a key data layer according to high compression strength; calculating a bandwidth allocation factor based on the bit error rate and the non-key block proportion, and dynamically controlling the sending amount of a non-key data layer; and step 5, hierarchical reconstruction of the receiving end. By combining a plurality of technologies such as image partitioning, dynamic classification, differential compression, channel adaptive control and receiving end reconstruction, the bandwidth utilization rate is effectively optimized while the image quality is ensured.

The invention provides a PON port rate configuration method and device and electronic equipment, and relates to the technical field of information, and the method comprises the steps: obtaining a PON port rate; configuring different optical signal coding modes for the PON port based on the PON port rate; converting the serial data of the PON port in different optical signal coding modes into parallel data based on a high-speed serial communication interface model, and adjusting the bit width of the parallel data based on the rate of the PON port; identifying a corresponding identification delimiter through a sliding code based on the bit width of the parallel data so as to determine the position of a payload; and splicing and analyzing the parallel data with different bit widths so as to complete the configuration of the PON port rate. According to the invention, the uplink rate and the downlink rate of the PON port are flexibly configured according to the bandwidth requirements of different application scenarios; the bit width of parallel data is adjusted through the PON port rate, and efficient utilization of bandwidth resources is ensured by utilizing dynamic bandwidth allocation.

The invention relates to the technical field of data processing, and discloses a gateway service integrated management method and system based on an FTTR demand. The method comprises the following steps: carrying out topology scanning on a test signal of an optical time domain reflectometer to obtain a room-level FTTR topology mapping table, carrying out feature extraction on service traffic of each room according to deep packet inspection to obtain a room function identification tag library, and carrying out attenuation compensation on a corresponding room optical port by an optical power meter to obtain an FTTR link quality evaluation matrix, and bandwidth allocation is carried out through a reinforcement learning algorithm to obtain a room-level QoS strategy configuration set, and building data interaction is carried out based on an MQTT protocol to obtain an FTTR gateway service integrated management scheme. According to the invention, the intelligent level of FTTR network room-level management and the resource allocation efficiency are improved. According to the invention, the real-time performance of optical fiber link quality monitoring and the collaboration of building network management are improved.

The invention provides a signal processing method, an optical line terminal (OLT) and a computer readable storage medium, and the method comprises the steps: carrying a bandwidth allocation indication of an uplink frame of a first PON mode through a first downlink frame, carrying a bandwidth allocation indication of an uplink frame of a second PON mode through a second downlink frame, and controlling the time alignment of the first downlink frame and the second downlink frame so as to send the first downlink frame and the second downlink frame at the same sending time on the OL T side, the first downlink frame being transmitted in a first specified wavelength band, and the second downlink frame being transmitted in a second specified wavelength band. Since the sending time of the first downlink frame and the sending time of the second downlink frame are aligned, the ONU of the first PON mode and the ONU of the second PON mode can be ensured to correctly send the uplink frame through the third specified wave band according to the bandwidth allocation indication in the downlink frames, uplink time slot conflicts of the uplink frames of different PON modes transmitted in the same wave band are avoided, and the uplink frame transmission efficiency is improved. And uplink time division coexistence of different PON mode systems is realized.

The invention discloses a high-definition video docking station device, an integrated system and a communication method. The device comprises a main control module, a protocol conversion module, a power management module, a video processing module, a dynamic bandwidth allocation unit, a plurality of video output interfaces and a peripheral expansion unit. The main control module receives an input video signal and performs shunting, compression and protocol analysis; the protocol conversion module manages interface protocol switching, equipment detection and power supply negotiation; the power management module converts input voltage into multi-stage system voltage and provides a reverse charging function; the video processing module is used for splitting an input video signal into multiple paths of independent video streams and reducing the bandwidth; the dynamic bandwidth allocation unit is used for dynamically adjusting the resolution or refresh rate of the video stream; and the peripheral expansion unit is connected with the low-speed peripheral through the independent data channel. The device supports three paths of 4K and 60Hz synchronous output, has high energy efficiency, intelligent bandwidth management and good compatibility, and is suitable for multi-screen cooperation, industrial control and high-resolution display application scenes.

The embodiment of the invention provides a server bandwidth allocation method and device, equipment and a storage medium. The method comprises the following steps: acquiring state data of an expansion board card; determining a power supply level signal according to the state data; determining an output enabling state according to the power supply level signal; combining the state data, the power supply level signal and the output enabling state to determine hardware feature information; determining configuration information corresponding to the hardware feature information; determining bandwidth identification information matched with the configuration information based on a preset bandwidth allocation strategy; and based on the bandwidth identification information, bandwidth allocation is carried out on the expansion board card, the bandwidth can be automatically identified and reallocated, the same expansion board card can adapt to various configuration combinations, and the utilization rate and the flexibility of the server are remarkably improved.

The invention discloses a data transmission method and device, a nonvolatile storage medium and electronic equipment. The method comprises the steps that a plurality of fragmentation requests sent by a plurality of clients are acquired, and each fragmentation request at least comprises network layer data and application layer behavior data; determining a network quality score of the client according to the network layer data and the application layer behavior data of the client; according to the network quality score, the plurality of clients are divided into a plurality of grades, and the grades are in positive correlation with the priority of fragment transmission; determining the maximum connection number corresponding to the clients of the plurality of levels, and determining a fragment transmission strategy based on the maximum connection number; and controlling fragmentation transmission of the client according to the fragmentation transmission strategy. According to the method and the device, the technical problems of non-uniform resource allocation and incapability of effectively coping with the dynamic change of the network state caused by the static property and the singleness of a related bandwidth allocation strategy in a video fragment on-demand scene are solved.

The invention discloses a multilayer space dynamic topology adaptive communication network construction method, and belongs to the technical field of communication networks. The method is realized through five steps of constructing a multi-layer fusion architecture of space-based, air-based and ground-based networks, instantiating network slices of power service perception, performing dynamic topology abstraction and resource pre-mapping based on virtual cell division, performing power and bandwidth collaborative allocation based on reinforcement learning, and deploying multi-domain fault diagnosis and predicting a closed loop. According to the invention, power and bandwidth collaborative allocation based on deep reinforcement learning not only can optimize the total capacity of the system, but also can realize dynamic balance of the network load. The system can automatically adjust the power and bandwidth distribution according to the real-time network state in the operation process, and the self-adaptive mechanism enables the network to efficiently cope with the demand changes of different power businesses.

The invention relates to a video playing bandwidth allocation method, computer equipment and a storage medium. The method comprises the following steps: receiving a plurality of video playing requests sent by a user side, and determining a plurality of videos to be played corresponding to the plurality of video playing requests; respectively determining a user feature and a video feature corresponding to each video to be played, wherein the video feature comprises video complexity; determining the experience quality gain of each to-be-played video according to the user features and the video features; and according to the experience quality gain and the bandwidth consumption of each to-be-played video, bandwidth allocation of the to-be-played video is carried out. Therefore, the resource efficiency and the user experience can be effectively balanced within the limited bandwidth prediction, so that the decision of bandwidth allocation can well serve the experience quality gain, the optimization of bandwidth resources is realized, the bandwidth resources are combined with the requirements of actual video services, and the user experience quality is improved.

The invention relates to the technical field of concentrators, and discloses a hub performance detection method and device, equipment and a storage medium. The method comprises the following steps: constructing a port performance data matrix based on a plurality of physical ports of the hub, and performing correlation calculation and port group division to obtain an initial port group division result; calculating the occupation condition of each port group on the bandwidth of the backboard, and carrying out bandwidth competition analysis to obtain a port group bandwidth allocation scheme; carrying out dynamic detection threshold calculation, and constructing a port group performance detection rule; performing detection time slice distribution on each port group to obtain a multi-port group parallel monitoring scheme; and performing real-time detection on the multi-port group parallel monitoring scheme, identifying the performance abnormal propagation link between the port groups, and generating hierarchical alarm information. The method effectively improves the accuracy of the performance detection of the hub, and realizes the accurate identification of the performance abnormal propagation link between the port groups.

The invention relates to the technical field of industrial automation control and robots, in particular to a heterogeneous high-real-time multi-axis robot cooperative motion control system and method.The system comprises an SoC main control layer, an FPGA driving layer and a hardware interconnection layer, the SoC main control layer adopts a heterogeneous SoC chip, an ARM processor is responsible for track planning and task scheduling, an FPGA logic deployment reconfigurable PID calculation engine is responsible for FPGA logic deployment, and the FPGA driving layer is responsible for FPGA logic deployment. A multi-axis position ring and speed ring algorithm is realized through the time division multiplexing processing unit; the FPGA driving layer comprises a plurality of FPGA coprocessors, and an FOC current loop IP core is instantiated to execute bottom layer vector control related operation; the hardware interconnection layer adopts an EPPI protocol supporting topology awareness, dynamic bandwidth allocation and a ping-pong buffering mechanism, and efficient transmission of a control instruction and feedback data is achieved. Through hierarchical control and hardware collaborative design, the problems that an existing multi-axis control system is large in calculation delay, insufficient in synchronization precision and low in hardware resource utilization rate are effectively solved.

The embodiment of the invention provides a bandwidth allocation system, and relates to the field of bandwidth allocation. The system comprises a mainboard which comprises a central processing unit, an expansion chip and a first connector group; the input / output board comprises a second connector group, the first connector group provides a first signal group to the expansion chip based on whether a cable is connected between the first connector group and the second connector group, and the central processing unit reads the first signal group from the expansion chip and configures a bandwidth branching mode of the central processing unit according to the first signal group; according to the invention, the design process is simplified, the development and maintenance workload and the production cost of the basic input and output system are saved, the purpose of changing the bandwidth branching mode is achieved by changing the connection mode of the connector cable and generating different signal sequences, the operation is simple and convenient, the maintenance is easy, the control cost in the production process is reduced, and the production efficiency is improved. And meanwhile, abnormal bandwidth allocation caused by improper operation is avoided, and the production yield of products is improved.

The invention relates to a joint task unloading and resource optimization design method in a communication-sensing-calculation integrated internet of vehicles, and belongs to the technical field of wireless communication. In the scheme, a task vehicle carries a communication-sensing integrated system, and needs to cooperatively complete a large task and independently complete respective sensing tasks; large-scale tasks can be split into a plurality of sequence dependent medium-scale tasks, and task vehicles can select local processing or unloading to service nodes. According to the method, an efficient task unloading and resource allocation algorithm is jointly designed, and an unloading strategy X, a power allocation strategy P and a bandwidth allocation strategy B are optimized, so that the maximum sub-task splitting number constraint, the maximum bandwidth constraint, the maximum transmitting power constraint, the vehicle communication range constraint and the vehicle radar sensing threshold constraint are satisfied; and the time delay of a large task is minimized. Simulation results show that the sensing performance is considered, the processing time delay of the large chain task in the communication, sensing and calculation integrated Internet of Vehicles is effectively reduced, and the method has very high application value and practical significance.

The invention discloses a double-line channel audio and video transmission optimization method and a double-line channel audio and video transmission optimization system. The method relates to the field of audio and video transmission control, and dynamically determines bandwidth requirements and performs resource allocation by analyzing data variation amplitudes of a main stream channel and an auxiliary stream channel. The main stream channel pays attention to content changes of subtitles, labels and the like, and the auxiliary stream channel pays attention to parameters of video playing frame rate, resolution and the like; meanwhile, a classifier combined by a full connection layer and a softmax activation function is adopted to identify dynamic and static contents in the video so as to further optimize bandwidth allocation. The system comprises a server, a client, a main stream channel and an auxiliary stream channel, the server receives audio and video data, packages the audio and video data according to an optimization method and transmits the audio and video data through different channels, and the client receives, decompresses and plays the audio and video data. According to the scheme, an effective bandwidth management strategy and an intelligent scheduling mechanism can be adopted, the audio and video transmission quality and real-time performance are improved, participants can enjoy clearer and smoother audio and video experience, and the stable transmission quality can be kept even in a complex network environment.

A method for bandwidth distribution method, an apparatus, a storage medium, and a program product are disclosed. The method may include performing bandwidth allocation to each of a plurality of designated allocation objects across different transmission channels, such that the bandwidths obtained by the plurality of designated allocation objects meet a preset bandwidth allocation condition; where the preset bandwidth allocation condition may include one of, non-overlapping, partial overlapping, or complete overlapping of the bandwidths obtained by the plurality of designated allocation objects.

The present disclosure provides a bandwidth allocation method, an electronic device, and a computer readable storage medium. The bandwidth allocation method comprises: determining an overall wide area network (WAN) interface bandwidth of a network according to capability information of a WAN interface of each node currently added to the network, wherein nodes comprise a master node and a slave node, and the WAN interface is an interface where the node is connected to the WAN; and allocating traffic to at least one egress node according to the current overall WAN interface bandwidth of the network and a bandwidth distribution condition of each node.

The application discloses a network card management system and method and electronic equipment, and relates to the technical field of network card management. The system comprises a mainboard, a network card and a preset cable. The mainboard is provided with a mainboard power supply circuit, a logic controller and a connector. The connector comprises a power supply pin connected to the mainboard power supply circuit and at least one bandwidth identification pin. The inside of the mainboard side plug of the preset cable is provided with a target circuit connection structure, and the power supply pin and the bandwidth identification pin are directly electrically connected when the cable is connected. The logic controller automatically determines the network card bandwidth allocation mode by collecting the level signal of the bandwidth identification pin and generates a configuration signal to control the network card work. The technical problem that the network card bandwidth configuration in the related art depends on software setting is solved. The automatic identification and configuration of the network card bandwidth are realized through the hardware connection topology, and the system deployment efficiency and reliability are significantly improved.

The invention provides a bandwidth allocation method and device, electronic equipment and a storage medium, and the method comprises the steps: determining an initial bandwidth allocated to each switch by each processor, and enabling each processor to be any one of a plurality of processors of each computing node; each switch is any switch in a plurality of switches with a target number of switches of a predetermined integer, and the plurality of processors are respectively connected with each switch; when the initial bandwidth is a non-integer multiple of the preset transmission channel bandwidth, rounding the initial bandwidth through a rounding strategy, and determining a target bandwidth allocated to each switch by each processor; and determining the receiving total bandwidth of each switch based on the target bandwidth, and adjusting the target bandwidth based on the receiving total bandwidth so as to control each processor to allocate the adjusted target bandwidth to each switch, compared with the related technology, the problem that the bandwidth allocation of the processor is difficult to design due to the bandwidth granularity can be avoided. And meanwhile, the bandwidth allocation efficiency is remarkably improved.