447 results about "Bandwidth allocation" patented technology

The invention relates to the technical field of communication data analysis, and discloses a communication network service health degree analysis method, system and device and a medium, and the method comprises the steps: obtaining real-time link state data, carrying out the quantitative analysis, and judging whether the link jitter exceeds a preset threshold value or not; when abnormality is detected, abnormal points can be positioned and the influence range of the abnormal points can be analyzed, so that the influence degree of nodes on the abnormal diffusion path can be identified; calculating a service quality index change value, and determining a starting point and a diffusion direction of chain degradation; by analyzing historical traffic data of the key nodes, a service traffic change trend and traffic dense area distribution characteristics are obtained. According to the method, the bandwidth allocation strategy is dynamically optimized, the bandwidth resources at the junction are reconfigured, and the regional service health degree is evaluated. And if the degradation is not effectively controlled, monitoring and detection mechanism parameters can be adaptively adjusted, and continuous analysis and control of link abnormity are realized, so that the network performance and the service quality are effectively improved.

The invention relates to the technical field of wireless high-definition audio and video transmission, and discloses a plug-and-play wireless high-definition audio and video transmission method and system.The method comprises the steps that foreground space texture features and audio and voice segments are obtained, and an initial feature set containing space and semantic features is obtained through semantic correlation analysis; a unified representation vector is output through multi-modal feature fusion, and a dynamic importance score is obtained by determining time sequence consistency, calculating an importance weight and performing normalization; and when the score exceeds a threshold value, segmenting the video frame in real time to determine an attention focus area and optimize a boundary, thereby generating an attention weight matrix, preferentially allocating bandwidth and forming a partition differentiation compression result. And in combination with a network bandwidth state, protection is enhanced for a key stream, the priority and the bit rate are dynamically adjusted, and high-quality audios and videos are output through decoding and recombination. According to the invention, the bandwidth allocation and compression strategy can be dynamically optimized, the transmission quality of a key area is guaranteed when the bandwidth fluctuates, and the audio and video transmission efficiency and experience are improved.

The invention relates to the technical field of network communication, and discloses an AI load-oriented network topology awareness and communication optimization method, an AI load-oriented network topology awareness and communication optimization device and a related system. The method comprises the following steps: acquiring gradient transmission delay data among computing nodes in a distributed AI training system, and constructing a gradient distribution table of gradient tensors and RDMA intelligent network card queue resources; performing aggregation operation on the gradient tensor in the gradient distribution table on a programmable data plane of the RDMA intelligent network card to obtain pre-aggregated gradient data; calculating a transmission efficiency index of the pre-polymerized gradient data and solving to obtain a bandwidth allocation coefficient; and adjusting an MTU frame parameter, a WQE queue depth and a credit window of the RDMA intelligent network card according to the bandwidth allocation coefficient, and generating a hybrid execution scheme. According to the method, intelligent distribution of the gradient tensor between hardware unloading and software processing is achieved, and the performance close to the optimal performance is obtained under the condition that resources are limited.

The invention discloses a data scheduling and control method based on mainboard memory straight-through, and relates to the technical field of computer hardware, the method comprises the following steps: pre-allocating a straight-through memory area for mounting equipment in a firmware initialization stage, establishing a mapping relation between equipment identification and a physical address of an exclusive memory segment, and through address translation and access control rules of a firmware layer, the device bypasses a system cache level and accesses the exclusive memory segment in a direct memory access mode. Constructing a firmware scheduling table based on the mapping relation to manage access requests of all devices, monitoring transmission delay in real time, and dynamically adjusting priority weight and bandwidth allocation in the scheduling table according to a monitoring result; and sequencing the requests according to the updated scheduling table to complete scheduling and control of the memory access behavior of the equipment. According to the method and the device, the delay bottleneck caused by multi-level copying and firmware scheduling lag in mainboard data forwarding is effectively solved.

The invention discloses a computer system based on a cross-model Internet of Things equipment access efficiency calculation model, which integrates an equipment performance sub-model, a network state sub-model and a response prediction sub-model. The identification module is used for identifying a device inherent identifier of the Internet of Things device to be accessed so as to obtain a response time statistical characteristic value and a historical communication parameter set; the prediction module is used for acquiring network state parameters in real time, calling the response prediction sub-model to calculate expected response time, and optimizing the historical communication parameter set to generate an initial communication parameter set; the comparison module is used for monitoring the actual response delay and the data packet loss rate of the current access equipment and obtaining a delay deviation value; and the adjusting module is used for dynamically adjusting the bandwidth allocation strategy in the initial communication parameter set when a preset condition is met, and synchronously updating the data analysis priority to generate a target communication parameter set. According to the invention, differentiated access control of different types of Internet of Things equipment can be realized.

The invention discloses a communication network bandwidth control method, and particularly relates to the technical field of network bandwidth control. Flow monitoring equipment is arranged in a communication network, flow is monitored in real time, flow data of different users and applications are collected, and on the basis of historical flow data and a real-time change trend, a burst flow prediction model is constructed, and flow peak fluctuation and sudden increase characteristics are analyzed, so that the real-time response capability of a bandwidth allocation strategy is evaluated in advance, and the real-time response capability of the bandwidth allocation strategy is evaluated in advance. When the response capability is insufficient, bandwidth allocation is dynamically adjusted according to a priority strategy, bandwidth requirements of high-transmission-priority applications are preferentially guaranteed, bandwidth occupation of low-priority applications is limited so as to ensure the continuity of key services, and after bandwidth adjustment, the allocation strategy is further refined through real-time flow feedback, so that the bandwidth allocation efficiency is improved. The efficient utilization of resources and the stability of network service quality are guaranteed, so that the problem of bandwidth allocation lag in emergencies is solved, and flexible resource optimization management is realized.

The invention relates to the technical field of coal mine automation control, and discloses a coal flow windscreen wiper multi-device cooperative control method and system. The method comprises the following steps: obtaining an original environment data set of each sensor node in an underground environment, processing the original environment data set to obtain a communication quality index, calculating bandwidth demand change of each node in combination with historical transmission records of the nodes, and predicting a resource allocation proportion; when the current available network resources cannot meet the requirements, sorting the key data packets to obtain a priority transmission sequence; extracting high-priority data from the sequence, temporarily storing the high-priority data to a local cache unit, and determining the state of a buffer area; dynamically adjusting bandwidth allocation by adopting an intelligent optimization model, and updating communication resource configuration; and judging whether the resource configuration meets a load balance requirement, if so, sending a data packet through a wireless channel, determining a transmission performance index, and generating a resource management scheme of a next period. The cooperative work efficiency of multiple devices of the coal flow windscreen wiper in the high-dust and high-humidity environment is improved.

Automated communication channel selection is provided. A method, system, and computer readable storage device automatically perform a discovery process of a MoCA® network, to determine a topology of the network, perform a spectrum analysis of a DOCSIS® network of which a portion of the frequency range may be shared, apply one or more business rules to the collected network and spectrum usage data, and determine an optimized channel configuration for transmitting data to end devices in a local network. For example, the channel configuration may be configured for optimal bandwidth allocation, transmission speeds, signal quality, etc., without interferences within the shared frequency spectrum range. A gateway device may include a filter that can be reconfigured as an all-pass filter or as a variable low-pass filter based on the channel configuration determination. The MoCA® network may be reconfigured to operate within a defined frequency range based on the determined channel configuration.

The invention provides an end-network cooperative transmission system and method for a multi-mode network. The system comprises a terminal service demand layer which is used for identifying the service type of a terminal in a multi-mode network, generating structured service demand information and transmitting the service demand information to a network collaborative decision-making layer; the network cooperation decision-making layer is used for fusing the service demand information and the link state information, generating a transmission optimization strategy including path selection, priority mapping, bandwidth allocation and rate control, and transmitting the transmission optimization strategy to the transmission optimization strategy execution layer; and the transmission optimization strategy execution layer is used for executing a transmission optimization strategy, collecting link state information in the multi-mode network in real time through INT, and transmitting the link state information to the network cooperation decision layer. According to the method, efficient scheduling of heterogeneous network resources and high-reliability transmission guarantee of differentiated services are achieved, and the method is suitable for key service scenes sensitive to time delay and reliability, such as Internet of Vehicles and ultra-high-definition video transmission.

The invention relates to the technical field of data communication and artificial intelligence, and particularly discloses an intelligent data optimization system and method based on artificial intelligence, and the system comprises a characteristic curve acquisition module, a period determination module, a node grouping module, a priority calculation module, a resource distribution module and a data scheduling module. The method comprises the following steps: firstly, acquiring a flow characteristic curve of each data flow, and determining a flow fluctuation period; then, K-means clustering is combined with genetic algorithm optimization, and nodes are grouped; then, integrating hardware performance parameters and flow stability, and calculating a transmission priority weight; bandwidth resources are allocated according to the weights, basic requirements of low-priority nodes are ensured, and dynamic adjustment is carried out to adapt to network load changes; and finally, constructing a multi-objective optimization model through a deep reinforcement learning algorithm DQN, dynamically scheduling a data flow according to a bandwidth allocation result, and realizing efficient data transmission by taking delay, a packet loss rate and a bandwidth utilization rate as optimization objectives, thereby effectively improving the network transmission efficiency and performance.

The invention discloses a channel scheduling and bandwidth allocation method, system and device for cloud desktop communication, and the method comprises the steps: obtaining a data frame set, allocating a corresponding priority identifier according to a channel type to which each data frame belongs, and embedding the priority identifier of each data frame into a special field of a frame structure; the data frames are inserted into the corresponding sending queues according to the priority identifiers, each priority corresponds to one sending queue, the data frames are extracted from all the sending queues in sequence according to a preset scheduling strategy to be sent, and the preset scheduling strategy at least supports a priority preemptive mode or a weighted fair queuing mode; and collecting network state parameters in real time, and dynamically adjusting the bandwidth quota of the channel corresponding to each data frame through a feedback closed-loop mechanism based on the network state parameters. According to the invention, the rapid transmission of high-priority data frames is ensured, and the delay of real-time interaction is reduced; resources are flexibly allocated according to the network state, and the bandwidth utilization rate is improved.

The invention discloses a bandwidth allocation method and device for a namespace, and the method comprises the steps: receiving an operation request, and determining a target namespace for which the operation request aims in an SSD (Solid State Disk); obtaining the capacity of the target namespace and the total bandwidth of the NAND Flash end of the SSD, determining active namespaces when the operation request is received, and obtaining the sum of the capacities of all the active namespaces; wherein the active namespace refers to a namespace with data operation in a preset time period; obtaining a capacity ratio between the capacity of the target namespace and the determined sum of the capacities of all the active namespaces; and allocating bandwidth for the target command space according to the total bandwidth of the NAND Flash end and the obtained capacity ratio, and executing the received operation request according to the allocated bandwidth. Therefore, the overall bandwidth utilization rate is improved.

The invention discloses a communication method and electronic equipment, and relates to the technical field of communication, and the method adopts a two-stage QoS control strategy, and combines a bottom layer hierarchical token bucket algorithm with a top layer deficit polling algorithm. And the bottom layer QoS adopts a hierarchical token bucket to realize bandwidth allocation and traffic shaping based on traffic categories. The top layer distributes bandwidth resources by adopting deficit polling on the basis of functions, so that the problem that the waiting time of data packets in transmission queues of other functions is too long due to the fact that large data packet transmission of a certain function occupies more bandwidth in function scheduling can be solved. According to the method, end-to-end QoS guarantee can be realized, and bandwidth requirements of different traffic categories and functions are considered, so that under the scene of cross-domain sharing of PCIe equipment, the hardware resource utilization rate is maximized, fine bandwidth allocation and traffic control are performed, efficient transmission and scheduling are ensured, and bandwidth fluctuation caused by burst cross-domain access is smoothly processed.

The application relates to the field of communication and is a space-air-ground communication resource multi-target optimization method based on a Pareto optimal solution set, which solves the problem of unreasonable communication resource allocation schemes in the prior art. The application relates to a ground Internet of Things terminal, a UAV and a low-orbit satellite, and comprises the following steps: 1. calculating uplink channel capacity from the ground Internet of Things terminal to the low-orbit satellite; 2. optimizing a target function modeling: taking the minimum uplink channel capacity of each category of Internet of Things terminal in step 1 as an optimization target; 3. iterative optimization based on an evolutionary algorithm framework; the application flexibly designs the deployment position of the UAV and the bandwidth allocation scheme among the Internet of Things devices, adopts a directional resource adjustment scheme, and optimizes the uplink channel capacity of each category of ground Internet of Things terminal through the UAV relay to the low-orbit satellite in a fair manner, so that the uplink channel capacity among the same type of Internet of Things devices is as equal as possible and the uplink channel capacity of each category of Internet of Things device is as large as possible.

The invention discloses a teaching live broadcast control method, a teaching live broadcast control system, a teaching live broadcast control medium and teaching live broadcast control equipment based on multi-protocol signal flow scheduling, a multi-protocol signal source is adaptively accessed, a protocol analysis plug-in is correspondingly loaded to analyze a protocol, and different types of heterogeneous flows are converted into standardized data flows. Extracting stream features, and performing scene recognition; and dynamically adjusting the bandwidth allocation strategy based on the network state and the terminal capability. And on the basis of the multi-target reinforcement learning model, generating an optimal strategy of bandwidth allocation for live broadcast stream pushing and local distribution requirements. Stream transcoding and format conversion are carried out, and multi-signal stream timestamps are dynamically calibrated and synchronized; based on a Transform model, multi-modal content matching is carried out, knowledge chain marks are generated, and finally terminal output is carried out. The method has the advantages of full-scene protocol compatibility, dynamic scene adaptive scheduling, intelligent resource dynamic allocation, high-precision time synchronization calibration and content intelligent association matching.

The invention discloses a high-speed peripheral component interconnection bandwidth allocation system, method and device, a medium and a product, and relates to the technical field of computers. The system comprises an adapter card, an impedance circuit and a basic input and output system. The impedance circuit is integrated on the adapter card, when adapter cards of different specifications are inserted, output of different impedance signals can be achieved through the state change of the impedance circuit on the adapter card, and in the power-on self-test stage, the impedance signal output can be achieved. And the basic input and output system determines the bandwidth of each high-speed peripheral component interconnection channel according to the impedance value and a preset impedance bandwidth mapping table. Therefore, when the adapter card is replaced, operations such as circuit redesign and impedance matching element adjustment do not need to be carried out on the mainboard, and the universality of high-speed peripheral component interconnection bandwidth allocation is improved. Besides, the basic input and output system automatically obtains the impedance value and determines the bandwidth through the power-on self-test stage, firmware configuration parameters do not need to be modified manually, and the flexibility of server hardware configuration is enhanced.

Methods, systems, and devices for data management are described. A first computing node within a first set of computing nodes may receive, from a network gateway, a first replication request that is associated with a first replication job for the first cluster of computing nodes to provide copies of a first set of one or more computing snapshots to a second cluster of computing nodes. The first set of computing nodes may determine that a second computing node different from the first computing node will service the data replication request. A network bandwidth allocation may be increased for the first computing node that received the replication request directly from the network gateway while the network bandwidth allocation for the second computing node is maintained for the second computing node based on the second computing node receiving the request via an internal redirection of the request.

The invention relates to the field of data transmission, and discloses a scheduling method for parallel transmission of multi-user video streams, which comprises the following steps of: decomposing each user video stream in a frame sequence layer, a code rate layer and a network buffer layer, and establishing a mapping unit for decomposed segments in a multi-dimensional state domain; based on the initial transmission situation map, asynchronous disturbance injection is carried out on the high-priority fragments; continuously monitoring the disturbance trajectory of the dynamic dependency scheduling layer in the flow, and identifying a delay abnormal region; mapping the generated semi-adaptive bandwidth allocation factor to a transmission node corresponding to each video stream in a network topology, and performing real-time regulation and control on a shunting proportion, a caching strategy and a priority weight of the transmission node through a nonlinear regulation function; in a dynamic scheduling topology convergence stage, joint integration is performed on a local bandwidth adjustment gradient and node topology weight attenuation. The method has the advantage of improving the continuity of multi-user video playing.

The invention provides a bandwidth allocation method and device, electronic equipment and a storage medium. The method comprises the following steps: monitoring network state indexes of a plurality of private line links in real time; carrying out heat analysis on service flows transmitted on the plurality of private line links based on the network state indexes, and identifying a heat flow meeting a preset condition; selecting a target link from the plurality of private line links according to the flow characteristics of the heat flow and the network state index; establishing a hardware direct connection forwarding channel on the target link for the heat flow, and synchronizing configuration information of the hardware direct connection forwarding channel to a control component; and receiving a global bandwidth allocation strategy issued by the control component based on the configuration information, and calling the hardware direct connection forwarding channel to execute local flow scheduling for the heat flow according to the global bandwidth allocation strategy and the network state index. Therefore, the forwarding performance and the resource utilization rate of the private line gateway are remarkably improved.

The invention provides a CSQF-based wide area network mixed flow scheduling method and system and an electronic device, and the method combines the scheduling demands of a TT flow and an AVB flow through the reasonable division of a periodic resource block, guarantees that the timeliness requirement of the TT flow is satisfied, and provides a flexible bandwidth allocation strategy for the AVB flow. And a dynamic period scaling mechanism is introduced to adapt to the change of the network load, and conflicts among different traffic types are reduced through a sliding window preemption strategy, so that the overall scheduling effect of the mixed traffic is optimized.

The invention provides a bus bandwidth allocation method and device based on a system on chip and related equipment, and the method comprises the steps: in response to a received bandwidth scheduling instruction, determining system operation scene information corresponding to the bandwidth scheduling instruction, and a plurality of operation state dimensions corresponding to the system operation scene information; for any function module, obtaining multiple pieces of operation state data corresponding to the function module; determining a plurality of scene adjustment factors corresponding to the system operation scene information; and for any function module, performing adjustment operation on the plurality of operation state data corresponding to the function module through the scene adjustment factor corresponding to the function module, and determining the allocation priority of the function module according to the operation result, thereby allocating the bus bandwidth for the plurality of function modules. The method is based on a dynamic priority mechanism of a multi-dimensional state and a scene adjustment factor, and ensures that a high-demand task can obtain sufficient bandwidth in time.

A transmission bandwidth allocation method includes: receiving, by a transmission device, requirement information from a reception device via a specific interface; transmitting, by the transmission device, attribute information corresponding to the requirement information to the reception device via the specific interface; and dynamically allocating, by the transmission device, a transmission bandwidth according to the attribute information for transmitting multiple data to the reception device.

The invention provides a data analysis method and device for an energy storage transmission micro-control module of a new energy electric vehicle, and the method comprises the steps: carrying out the time sequence collection and preliminary filtering of multi-channel original data of a vehicle, and obtaining a key data set; executing cross-channel dynamic cache synchronization by utilizing a bandwidth prediction feedback mechanism, and carrying out time sequence cross check on adjacent data packets to generate a consistency check report; performing multi-dimensional packet tracking on the suspicious data packets in the report to form a wrong-sequence packet list; and finally, mining a trigger condition which causes the generation of a wrong-sequence packet in the multi-level correlation analysis, and outputting an abnormal early warning result. According to the invention, through effective reservation of extreme fluctuation information and accurate identification of data packet disorder and retransmission under a high-load working condition, the defect that sequence disorder caused by non-uniform bandwidth distribution and cache redundancy is difficult to find in time is overcome; and the data transmission reliability and the fault early warning capability of the energy storage system of the new energy electric vehicle can be further enhanced.

The invention discloses an Internet hospital supervision data uploading method and system, and relates to the technical field of data supervision, and the method comprises the steps: receiving multi-source heterogeneous supervision data and real-time network state parameters, recognizing a compliance attribute tag and a privacy security level tag of a data unit according to a preset supervision knowledge graph, and outputting a supervision data stream; the supervision data stream is input into a game theory analysis engine, an optimal cooperation strategy combination is analyzed through a Nash equilibrium algorithm, and a bandwidth allocation weight, a transmission priority queue and a dynamic compression threshold are output; injecting the verified data block and the metadata verification anchor point of the verified data block into the block chain fragment to perform smart contract consistency verification, and outputting an auditable data unit; and the auditable data integration unit generates a supervision evidence storage voucher and synchronizes the cloud and the edge to complete data uploading. According to the method, adaptive balance of the compression ratio and the data integrity is realized in a bandwidth dynamic fluctuation environment by adopting a neural differential compression operator and a manifold feature extraction mechanism.

A virtualized cellular access node includes a control plane interface coupled to a physical cellular access node, a first virtualized network function that receives a first portion of data, a second virtualized network function that receives a second portion of data, and a third virtualized network function that receives a third portion of data. The control plane interface receives data related to a cellular network having cellular terminals. The first virtualized network function analyzes the first portion of data and generates a first instruction related to traffic allocation within the cellular network. The second virtualized network function analyzes the second portion of the data and generates a second instruction related to bandwidth allocation within the cellular network. The third virtualized network function analyzes a third portion of the data and generates a third instruction related to quality of service assignment to a first cellular terminal within the cellular network.

The embodiment of the invention discloses a transmission task scheduling optimization method and device based on a hybrid learning strategy, and relates to the field of the Internet of Things and artificial intelligence. The method comprises the following steps: constructing a task scheduling optimization model taking minimization of the total bandwidth cost of a system in a preset time period as a target function, initializing parameters of a hybrid learning strategy particle swarm optimization algorithm, including particle swarm scale, particle position and speed, iteratively optimizing a bandwidth allocation scheme according to the hybrid learning strategy particle swarm optimization algorithm, and optimizing the bandwidth allocation scheme according to the particle swarm optimization algorithm. And updating the individual historical optimal position of each particle and the global historical optimal position of the population in each iteration process, and when iteration reaches the maximum number of iterations, outputting a bandwidth allocation scheme corresponding to the global optimal position as an optimal transmission task scheduling scheme. In this way, fast and efficient allocation of network bandwidth resources is achieved.

The application discloses a low-power consumption security cache method and medium for Internet of Vehicles, and the method comprises the following steps: 1) building an edge cache system; 2) acquiring vehicle request data and determining vehicle request content preference; the request content preference comprises cache content and cache priority; 3) determining a content placement scheme of the edge cache system according to the vehicle request content preference; 4) acquiring content data from a content server by a macro base station and a roadside unit according to the content placement scheme; and 5) determining a content distribution scheme based on resource allocation according to the vehicle request data. The medium stores a computer program. The application significantly improves the power consumption of the system by jointly considering the cache scheme of vehicle preference, vehicle activity, content size and power and bandwidth allocation.

A novel dynamic bandwidth allocation system integrates an intelligent traffic prediction module and an on-demand token replenishment module in a quality-of-service (QoS)-based media access control (MAC) layer controller, which is able to dynamically allocate data transmission capacity (i.e., bandwidth) to multiple incoming service flows of data packets for multiple subscribers more efficiently with less network congestions and service inconsistencies than conventional MAC layer management methods. The novel dynamic bandwidth allocation system utilizes network traffic predictions to identify potentially sudden or rapid changes in near-term network traffic, and if necessary, adjusts bandwidth allocations preemptively to service flows to minimize service quality degradations while also improving network resource usage efficiencies, compared to conventional static bandwidth allocation methods. The novel dynamic bandwidth allocation system also minimizes unnecessary packet droppages, network congestions, and / or speed degradations during bursty and oscillating network traffic, and improves QoS satisfaction rates for network subscribers.

The invention discloses a dynamic bandwidth allocation method and device used in an FTTR or OLT scene, and the method comprises the steps: receiving a bandwidth configuration parameter issued by a CPU, and receiving a bandwidth state parameter from an uplink PON MAC module in parallel; determining the bandwidth demand estimation value of each AllocID in the sub-allocation period, and initializing the residual available bandwidth in the sub-allocation period; and in the sub-allocation period, on the basis of the bandwidth demand estimation value of each AllocID, bandwidth allocation of all AllocIDs of each PON port and construction and issuing of BWMAP bandwidth authorization are completed in sequence according to the following mode: when it is determined that the current remaining available bandwidth is enough, bandwidth allocation is performed on the AllocID of the current PON port, BWMAP bandwidth authorization is constructed and issued, and the current remaining available bandwidth is updated. Therefore, the problem that an existing uplink time slot transmission bandwidth allocation mode cannot meet low-cost, low-delay and high-reliability user requirements is solved.

The invention relates to the technical field of bandwidth allocation, and provides a dynamic bandwidth allocation method and device for a home intranet, equipment, a medium and a product, and the method comprises the steps: obtaining the real-time flow of the home intranet through routing; when the real-time flow reaches a preset flow threshold value, triggering a broadband adjustment strategy; in response to the broadband adjustment strategy, performing first bandwidth adjustment according to the task type of the lower-mounted device to obtain a first adjustment result; inputting the first adjustment result into a user traffic use habit model for second bandwidth adjustment to obtain a second adjustment result; generating a bandwidth allocation adjustment command according to the second adjustment result; and sending the adjustment command to the route to enable the route to carry out bandwidth allocation and flow control on the lower equipment. According to the invention, the gateway manages the information of the under-hanging terminals among the routes as a whole, so that the information sharing among the routes is enhanced; and in combination with a two-stage bandwidth adjustment strategy, dynamic bandwidth allocation under the complex family topology is realized, and the adjustment accuracy is improved.