95 results about "Congestion window" patented technology

The application discloses a network congestion control method and device based on fuzzy rules, and the method comprises the following steps: setting corresponding fuzzy rules according to network types, wherein the network types include a data center network and a wide area network; obtaining network parameters and performing fuzzy processing, fuzzy reasoning and defuzzification on the network parameters to obtain an adjustment factor ΔF, wherein the network parameters include a bandwidth utilization rate, an ECN marking rate and a queue length; obtaining the size of a current congestion window and adjusting the size of the congestion window in real time according to the adjustment factor ΔF; the steps of fuzzy processing and fuzzy reasoning further comprise detecting the current network type, and selecting corresponding fuzzy rules and dynamically adjusting the weight coefficients corresponding to each network parameter in the process of fuzzy reasoning according to the detected network type. The network congestion control method based on fuzzy rules can adjust the network congestion window in real time, realizes the intelligentization and automation of network congestion control, and improves the network management efficiency.

The invention provides a hybrid congestion control method and system based on dynamic adjustment of a monitoring time period, and relates to the technical field of communication, and the method comprises the steps: obtaining a real-time network state, and calculating a round-trip delay change according to the network state to obtain network state data; performing normalization processing on the network state data to standardize the network state data, comparing the standardized network state data with a preset threshold to classify the network state data after normalization processing, and calculating a monitoring time period value according to a classification result to dynamically adjust the monitoring time period value; judging whether the current time reaches a monitoring time period value or not; and if yes, switching the current congestion window to a congestion window which is generated based on deep reinforcement learning and is adjusted by an optimal action according to the monitoring time period value. Compared with a traditional fixed monitoring time period scheme, the method not only has higher environment generalization ability, but also can quickly adapt to network condition changes through real-time state classification.

Embodiments of the present disclosure provide an adaptive adjustment method and apparatus for a congestion window, a device and a medium. The adaptive adjustment method for a congestion window comprises: when the current acknowledgement frame is received, determining data packet transmission information corresponding to the current acknowledgement frame; determining target adjustment information of the current congestion window on the basis of the data packet transmission information and at least one preset congestion window adjustment strategy; and adjusting window information of the current congestion window on the basis of the target adjustment information so as to control, on the basis of the adjusted window information, the number of data packets in the current congestion window or the number of bytes in a data packet to be transmitted. According to the technical solution of the embodiments of the present disclosure, congestion windows are adaptively and dynamically adjusted, improving the stability and real-time performance of the throughput of the congestion windows, thus achieving the effects of ensuring both the live streaming image quality and the live streaming real-time performance in live streaming scenarios.

The invention discloses a network congestion control method and device based on a fuzzy rule, and the method comprises the following steps: setting a corresponding fuzzy rule according to network types which comprise a data center network and a wide area network; network parameters are obtained, fuzzification processing, fuzzy reasoning and defuzzification are carried out on the network parameters, an adjustment factor delta F is obtained, and the network parameters comprise the bandwidth utilization rate, the ECN marking rate and the queue length; obtaining the size of the current congestion window, and adjusting the size of the congestion window in real time according to the delta F; a current network type is detected between the fuzzification processing step and the fuzzy reasoning step, a corresponding fuzzy rule is selected according to the detected network type in the fuzzy reasoning process, and a weight coefficient corresponding to each network parameter is dynamically adjusted. According to the network congestion control method based on the fuzzy rule, the network congestion window can be adjusted in real time, intelligence and automation of network congestion control are achieved, and the network management efficiency is improved.

The invention discloses a network card, a network congestion control method and device, electronic equipment and a storage medium, and relates to the technical field of networks. The method comprises the following steps: when entering a bandwidth detection stage or a time delay detection stage, determining a current congestion window value according to a bottleneck bandwidth and a minimum round-trip delay at a current moment, and obtaining a target congestion window value closest to the current moment in a historical record; if the current congestion window value is the same as the target congestion window value, obtaining a new and old congestion window data comparison record, and determining a target number of times when the new and old congestion window values are the same from the new and old congestion window data comparison record; and determining a window adjustment value according to the target number of times, and determining a congestion window value matched with the current network state according to the window adjustment value and the current congestion window value. The method can solve the problem that the related technology cannot adapt to the network change condition, and can dynamically adjust the congestion window value according to the actual state of the network to adapt to the network change.

Systems and methods are provided for improved TCP congestion control designed to address “mixed coarse-grained-fine-grained signal” scenarios. A TCP sender of the present technology achieves this improvement by leveraging two TCP congestion windows for a TCP connection: (1) a “fine-grained TCP signal-dependent congestion window” which is adjusted in response to “fine-grained” TCP congestion signals (as intelligently classified / defined by the present technology); and (2) a “coarse-grained TCP signal-dependent congestion window” which is adjusted in response to “coarse-grained” TCP congestion signals (as intelligently classified / defined by the present technology). With these two novel / unique congestion windows at disposal, the TCP sender can then dynamically (and intelligently) select an appropriate congestion window for dictating packet transmission for a TCP connection (e.g., the contemporaneously smaller congestion window). The TCP sender can also dynamically (and intelligently) synchronize the two congestion windows in order to ensure smoother transitions between utilized congestion windows.

The invention relates to the technical field of communication, in particular to a transmission layer ultra-low delay congestion control method assisted by physical layer information. The core of the method is as follows: a sending end continuously acquires physical layer channel quality information and predicts a future channel capacity change trend based on historical and current information sequences; and then, dynamically calculating and smoothly adjusting the size of a transmission layer congestion window through a predefined mapping relation according to a prediction result, actively reducing the window before predicting that the channel is deteriorated, and timely increasing the window when the channel is improved. In addition, the method also comprises a fault-tolerant mechanism, and automatically switches to a traditional congestion control mode when the prediction is misaligned by monitoring the deviation between the prediction and the reality. Through cross-layer information utilization and prospective control, the method aims to effectively reduce data transmission delay and jitter and improve the capability of a network to cope with channel dynamic changes and the overall stability.

The invention relates to a congestion control method and device, a chip, a network interface card, equipment, a medium and a program product. The method comprises the following steps: receiving a report event of a message processing module, and if a congestion notification message is not received in a speed raising period, updating a quantitative congestion evaluation value; when the report event of the message processing module comprises a congestion notification message event, a congestion window value is adjusted according to the quantized congestion evaluation value, the quantized congestion evaluation value is updated, a first timer is updated, and the first timer records a timestamp when the quantized congestion evaluation value is updated last time; when the report event of the message processing module comprises a token event, the relation between the congestion window value and the number of flight tokens is obtained, and the number of the flight tokens is the number of the tokens which do not receive the confirmation response message and have been issued; generating the number of tokens to be issued based on the relationship; and issuing new tokens to the message processing module based on the number of tokens to be issued. By adopting the method, the conversion from the window to the token can be realized.

The invention provides a self-adaptive traffic scheduling method and device for a heterogeneous dynamic network. The method comprises two core modules, namely an adaptive path selector and a flow priority manager: the adaptive path selector dynamically adjusts a path scheduling strategy by adopting a reinforcement learning method based on network state indexes, such as round-trip delay, packet loss rate and congestion window of a path, and explores a low-delay path in combination with a greedy method so as to avoid falling into local optimum; the flow priority manager dynamically distributes the data sending amount in each round of scheduling according to the flow priority proportion and the sending window, and in addition, after the high-priority flow is sent, unconfirmed data packets with the same priority are preferentially scheduled, so that the transmission continuity of the key service flow is guaranteed; the bandwidth utilization rate of multi-path transmission and the transmission reliability of key services can be improved, and the method adapts to dynamic changes in a complex network environment.

The invention provides a congestion control method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining a response time delay corresponding to terminal equipment, and enabling the response time delay to be the duration between the updating time of a to-be-confirmed pointer and the current time, the pointer to be confirmed points to the serial number of the first byte which is sent by the terminal equipment but does not receive the confirmation message; obtaining the path time delay of each virtual link in a plurality of virtual links corresponding to the terminal equipment, the path time delay being determined according to the transmission round-trip duration corresponding to the plurality of data packets on the virtual links; and adjusting a congestion window of the terminal device according to the response time delay, and performing load balancing processing on a plurality of physical links corresponding to the plurality of virtual links according to the path time delay of each virtual link, the congestion window being used for indicating the maximum data volume continuously sent by the terminal device. Through the congestion control method provided by the invention, the network congestion can be reduced, and the load balancing effect of the physical link can be improved.

The invention discloses a task difference-oriented congestion control scheduling method and system based on deep reinforcement learning. The method comprises the following steps: carrying out network topology configuration; generating an application layer task flow; performing network protocol stack operation configuration; a customized congestion control module is realized; carrying out data acquisition; performing reward construction; reinforcement learning training is carried out; an action space is designed according to the scheduling strategy difference of different task flows, and the congestion window is adjusted and mapped into an action set according to the focus of attention of each task on the performance index, so that the intelligent agent can output the corresponding scheduling strategy according to the task flow difference, and the task difference-oriented adaptive congestion control is realized. The method has high configurability and real mappability, and the designed modules can truly correspond to related network functions in a Linux kernel. A data structure and processing logic collected in the system are also realized based on a real operating system kernel, so that the method has relatively strong practical feasibility.

A congestion control method and apparatus, a device, a storage medium, and a program product. The method comprises: acquiring a response delay corresponding to a terminal device, wherein the response delay is a duration between an update moment of a pointer to be acknowledged and the current moment, and said pointer refers to the sequence number of a first byte that has been sent by the terminal device but for which an acknowledgment message has not yet been received; acquiring a path delay of each virtual link among a plurality of virtual links corresponding to the terminal device, wherein the path delay is determined on the basis of transmission round-trip durations corresponding to a plurality of data packets on the virtual link; and adjusting a congestion window of the terminal device on the basis of the response delay, and on the basis of the path delay of each virtual link, performing load balancing processing on a plurality of physical links corresponding to the plurality of virtual links, wherein the congestion window is used for indicating the maximum data volume the terminal device may consecutively send. The congestion control method can reduce network congestion and improve the load balancing effect of physical links.

Aspects of the disclosure are directed to establishing and utilizing multiple flows, e.g., data paths, within a single connection between two end points in a network. Packets being transmitted between the endpoints can be load-balanced among multiple flows using a set of flow labels. The flow label is determined using scheduling logic. The flow labels include a flow weight that encodes how the packet is mapped to a given flow. The flow weight may be used to determine a congestion window for each flow in the connection. As packets are communicated between the endpoints, congestion control data and acknowledgement coalescing entries are updated before an acknowledgement is sent. Each flow maintains a counter of the number of acknowledgments received. The number of acknowledgments received is used to implement congestion control.

The application provides a congestion window adjustment method and system based on delay change, and relates to the technical field of network communication. The congestion window adjustment method is as follows: every other round-trip time RTT, the delay gradient change of the current window is obtained, the compensation value of the congestion window is calculated according to the delay gradient change, and the size of the congestion window is adjusted by using the compensation value. Specifically, when a packet loss occurs, the window size is reduced, and the fairness when coexisting with Cubic and the influence of random packet loss on throughput are considered while reducing the window. The influence of delay jitter on the size of the congestion window is reduced, and when a smaller delay is detected, the window size is kept unchanged first. Compared with the traditional BBR algorithm, the application greatly improves the throughput when coexisting with Cubic flow, and improves the data transmission efficiency in a wide area network. The fairness is considered, and the bandwidth can be shared with Cubic fairly. The window is adjusted by using the delay gradient, the reaction speed is fast, and the convergence speed is fast.

A method for remote direct memory access (RDMA) communication includes transmitting, from a first device to a second device via a network, a first RDMA message, storing, by the first device, a transmit byte count (tx_byte_count) of a total number of bytes transmitted in the first RDMA message, receiving, by the first device from the second device, a second RDMA message associated with the first RDMA message, the second RDMA message comprising a receive byte count (rx_byte_count) of a total number of bytes of the first RDMA message received by the second device, and determining, by the first device, a size of a congestion window on the network based on the tx_byte_count and the rx_byte_count.

The application provides a kind of collaborative congestion control method based on attention-driven multi-path TCP sub-flow dependency modeling, MPTCP connection is established by sending end and receiving end;Subflow running data is read from MPTCP protocol stack by state monitoring module;Each subflow feature of the normalized state matrix input is weighted and fused by using self-attention layer;Action vector A is generated by Actor network t , and the effective congestion window of each subflow is used as the available sending window constraint when sending data;Action value Q is generated by Critic network;Reward R is calculated by reward calculation module t ;Form collaborative congestion control model;Realize online adaptive control;This method can realize unified decision and collaborative control of multiple subflows, can realize collaborative consistency of congestion control effect and scheduling result, and can improve the stability and comprehensive performance of multi-path transmission.

The embodiment of the invention provides a TCP (Transmission Control Protocol) congestion control method, device, equipment, medium and product, and relates to the field of computer networks, the method comprises the following steps: taking a bandwidth upper limit as a core constraint benchmark, combining the core constraint benchmark with smooth RTT and effective MSS to calculate a corresponding congestion window upper limit, and accurately regulating and controlling the congestion window through layered window constraint, so that the congestion control efficiency is improved. It is ensured that a congestion window always adapts to network transmission characteristics and resource allocation requirements, congestion caused by too large windows or resource waste caused by too small windows is avoided, meanwhile, the rhythm sending rate is calculated based on the bandwidth upper limit, the rhythm sending rate of a current application is dynamically updated through double judgment of a change rate threshold value and a minimum updating interval, and the user experience is improved. The real-time adaptation of the rhythm sending rate and the bandwidth upper limit is realized, the problem of insufficient collaboration of window adjustment and rate control in the prior art is solved, network resources are fully utilized while excessive sending is avoided and the transmission stability is guaranteed, and the TCP congestion control efficiency is improved.

The present invention discloses a data transmission method, apparatus and storage medium. The method includes that the source end and the destination end perform TCP data transmission through a forwarding device, wherein the forwarding device is directly or indirectly connected to the destination end through an air interface; when the forwarding device detects that the packet forwarding through the air interface fails, it sends an ACK packet to the source end; the source end records the sequence number and length of the packet whose forwarding through the air interface fails, and associates them with the corresponding TCP data stream to form a list of data with failed forwarding through the air interface. By applying the method of the present invention, after packet loss occurs in the air interface, the forwarding device sends the sequence number and length of the lost packet to the source end, and the source end no longer processes according to packet loss when receiving duplicate acknowledgment numbers subsequently, and does not adjust the congestion window and the slow start threshold, so as not to reduce the performance of data transmission.

The invention relates to a data sending method and device, computer equipment, a storage medium and a program product, and particularly relates to the field of communication. The method is applied to a data transmitting end, and comprises the following steps: acquiring wireless signal strength of a first communication network and a wireless negotiation rate with wireless access equipment; determining an interference state of the first communication network and a first window value of a congestion window in the first communication network according to the wireless signal strength and the wireless negotiation rate; acquiring a congestion state of a second communication network and a second window value of a congestion window in the second communication network; determining a target window value according to the interference state, the congestion state, the first window value and the second window value; and sending the target data packet to a data receiving end according to the target window value. By adopting the method, the congestion condition of the wireless communication network can be sensed according to the wireless signal strength and the wireless negotiation rate, and the network congestion problem caused by the fact that the congestion condition of the wireless communication network is not sensed in time is reduced.

The application discloses a network congestion control method for minimum bandwidth guarantee, and comprises the following steps: (1) distinguishing the types of network flows, wherein the types comprise deadline flows and non-deadline flows; (2) setting minimum window values according to the types of network flows; (3) adjusting the congestion window values according to the minimum window values and the congestion degrees when adjusting the congestion windows in each stage of the congestion control. The application further discloses a network congestion control device for minimum bandwidth guarantee and a computer readable storage medium, which are used for realizing the network congestion control method for minimum bandwidth guarantee. The application can guarantee the minimum bandwidth of TCP deadline flows and achieve the purpose of congestion control by distinguishing the deadline flows and the non-deadline flows.

The invention discloses a data transmission method and system, a storage medium, a program product and computer equipment. A sending device configured with a congestion window reads data from a preset database; packaging the read data based on the current state of the congestion window to obtain a data message; sending the data message to a receiving device, and receiving a feedback message from the receiving device; and based on the feedback message, state adjustment is performed on the congestion window and / or the reading rate is adjusted, and the reading rate is suitable for indicating the rate of reading the data from the preset database, so that the sending device can send the data message according to the feedback message fed back by the receiving device after sending the data message. According to the invention, the state of the congestion window is dynamically adjusted according to the actual situation to realize congestion control and / or the reading rate is dynamically adjusted to control the transmission efficiency, so that the dynamic balance between the congestion control and the transmission efficiency is realized, and the balance between the congestion control and the transmission efficiency is improved.

The application relates to the technical field of data communication, and discloses a device end data transmission method and system based on WebRTC technology, which establishes a communication network through WebRTC and an adaptive network protocol corresponding to the communication network, so that when the current network state is in a congested state, the data transmission rate is determined according to the network bandwidth and the round-trip delay, and when the current network state is in an idle state, the data transmission rate is determined according to the congestion window size and the packet loss rate. The network can accommodate the data amount based on the network bandwidth and the round-trip delay, and the data transmission rate is determined, the network bandwidth is fully utilized, the data preemption capability is improved, the congestion window size and the packet loss rate control the data transmission rate, the data error rate during data transmission is reduced, the reliability of data transmission is improved, the flexibility during WebRTC data transmission is improved from two aspects, and the data transmission effect is greatly improved.

The invention relates to the technical field of network flow detection, and discloses a network flow sharing bottleneck link detection method, system, device, medium and product, and the method comprises the steps: carrying out the periodic adjustment of a congestion window of a new data flow transmitted by a transmitting end, enabling the throughput of a to-be-detected data flow to be converted into a periodic throughput square wave signal, and enabling the throughput of the to-be-detected data flow to be converted into a periodic throughput square wave signal; the method comprises the following steps: extracting a main period frequency of a to-be-detected data stream through spectral analysis, taking the main period frequency as a frequency domain feature of the to-be-detected data stream, performing clustering comparison on the frequency domain feature and a pre-acquired frequency domain feature of total throughput of each cluster, and classifying the to-be-detected data stream into clusters with the same frequency domain feature as the to-be-detected data stream according to a clustering comparison result, or the clusters are created again, so that each cluster contains the data flow of the bottleneck link sharing the same network flow, the detection accuracy is improved, and high-precision reliable detection can be realized in a complex actual network environment.

The invention discloses a congestion control method for an artificial intelligence training cluster, a chip and a medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: analyzing an acknowledgement data packet fed back by a data receiving end; when it is confirmed that the reference rate carried in the data packet is not changed and the current reference rate adjustment interval is not smaller than a transmission rate adjustment interval threshold value, according to the one-way queue delay and the target queuing time, the sending rate of the data packet is adjusted in a staged mode, and the target sending rate is obtained; and determining the number of congestion windows according to the target sending rate and the loopback time, and determining a data packet sending interval according to the number of congestion windows. According to the technical scheme of the embodiment of the invention, accurate congestion control can be carried out on the artificial intelligence training cluster, efficient and reliable communication of the training nodes can be ensured, and good expandability is achieved.

The embodiment of the invention discloses a network optimization method and device, a storage medium and a computer program product. The method comprises the following steps: detecting a network congestion state of a current network; when it is detected that the network congestion state is that the current network is in network congestion, obtaining an adjustment factor; determining a first value and a second value based on the adjustment factor; the first numerical value represents the sending rate of a target data packet, and the second numerical value represents the size of a target congestion window; based on the first numerical value and the second numerical value, optimizing the current network to obtain an optimized target network; the target network is used for realizing data migration.

The application provides a kind of hybrid congestion control method and system based on dynamic adjustment monitoring time period, it is related to communication technical field, method includes obtaining real-time network state, network state data is obtained by calculating round-trip delay variation according to network state;The network state data is normalized to standardize network state data, and the normalized network state data is compared with the preset threshold to classify the normalized network state data, and the monitoring time period value is calculated according to the classification result to dynamically adjust the monitoring time period value;Determine whether the current time reaches the monitoring time period value;If yes, then according to the monitoring time period value, the current congestion window is switched to the optimal action adjustment congestion window generated based on deep reinforcement learning.The application compared with traditional fixed monitoring time period scheme, not only has stronger environmental generalization ability, but also can quickly adapt to network condition change through real-time state classification.

The present disclosure provides a message transmission method and device, electronic equipment, related medium and program product. The message transmission method comprises: generating a first data message; initializing a first bottleneck congestion window value and a first bottleneck load degree in the first data message, and sending the first data message, so that each forwarding device of a current communication path updates the first bottleneck congestion window value with an out-port congestion window value of the forwarding device when the out-port congestion window value is smaller than the first bottleneck congestion window value, and updates the first bottleneck load degree with an out-port load degree of the forwarding device when the out-port load degree is greater than the first bottleneck load degree; receiving a first acknowledgement message; and performing a route switching process according to the first bottleneck congestion window value and the first bottleneck load degree in the first acknowledgement message. The present disclosure can quickly and accurately detect the congestion condition of the communication path and implement timely route switching, which helps to improve the message transmission efficiency.

The invention provides a congestion control system and a control method for jointly adjusting a sending rate based on queues and time delays under a wireless local area network, relates to the technical field of congestion control of the wireless local area network, and aims to solve the problems that a traditional congestion control algorithm depends on single signal sensing, is lagged in response, cannot adapt to bottleneck dynamic switching of the wireless local area network, and is low in cost. And the transmission delay and the link throughput are difficult to balance. According to the method, after each round of data transmission, a network card driving queue residual length RQ is obtained, a data packet round trip time RTT is monitored, a congestion scene is cooperatively judged, a congestion window cwnd is dynamically adjusted to optimize the transmission rate, and corresponding formulas or strategies are adopted for adjustment according to scenes. According to the method, the problems of one-sided sensing and response lag of a traditional congestion control algorithm can be solved, a scene is judged through RQ and RTT dual-sensing cooperation, cwnd is dynamically adjusted, time delay is reduced when the network is good, throughput is guaranteed when the network is poor, and the performance is superior to Cubic and BBR.

Provided in the embodiments of the present disclosure are a traffic flow transmission method, a first node, a control device, a storage medium and a computer program product. The method is applied to the control device, and the method comprises: the control device receiving request information sent by the first node, the request information comprising one or more of identity information corresponding to the first node, identity information corresponding to a second node, and an expected rate value, the first node comprising a source node of a traffic flow transmission, and the second node comprising a destination node of the traffic flow transmission; on the basis of the request information, determining first information of the traffic flow transmission, the first information at least comprising a first transmission parameter, and the first transmission parameter comprising a first communication rate and / or a first congestion window size; and sending the first information to the first node, such that the first node performs the traffic flow transmission on the basis of the first information, thereby ensuring high throughput and improving the transmission efficiency of traffic flow transmissions.

The application relates to a congestion control method, device, chip, network interface card, equipment, medium and program product. The method comprises the following steps: receiving a report event of a packet processing module; if no congestion notification packet is received in a speed-up period, updating a quantitative congestion evaluation value; when the report event of the packet processing module comprises a congestion notification packet event, adjusting a congestion window value according to the quantitative congestion evaluation value, updating the quantitative congestion evaluation value, and updating a first timer, wherein the first timer records a time stamp when the quantitative congestion evaluation value is updated last time; when the report event of the packet processing module comprises a token event, obtaining a relationship between the congestion window value and the number of flying tokens, wherein the number of flying tokens is the number of tokens that have been issued but have not received an acknowledgement response packet; generating a number of tokens to be issued based on the relationship; and issuing new tokens to the packet processing module based on the number of tokens to be issued. The method can realize the conversion from a window to a token.