59 results about "Congestion window" patented technology

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 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 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 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 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 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.

This application provides a data frame transmission control method and apparatus based on a CAN bus. The method includes: maintaining a transmission window, a reception window, and a congestion window at the transmitting end; determining the current transmission window size based on the frame value with the smallest window size among the three windows; and asynchronously transmitting data in the transmission buffer queue to the receiving end in groups according to the current transmission window size. After receiving the data, the receiving end stores the data in a circular reception buffer queue, updates the receiving end window size, constructs an acknowledgment frame based on the updated receiving end window size and bitmap identifier, and sends the acknowledgment frame to the transmitting end. After receiving the acknowledgment frame, the transmitting end recalculates the current transmission window size and transmits the next group of data according to the recalculated current transmission window size. This application can improve data transmission efficiency and real-time performance.

The invention relates to the technical field of broadband speed measurement, discloses a broadband speed measurement method based on a TCP (Transmission Control Protocol), and solves the problems that the existing broadband speed measurement method is difficult to meet the requirement of an operator on local precise speed measurement of a user side and cannot accurately return broadband speed measurement rates in different speed measurement servers and network environments. The method comprises the following steps: firstly, matching and counting speed measurement target messages through a kernel hook function, and eliminating non-speed measurement data interference; according to the real-time sending rate of the speed measurement server, the ACK reply frequency and the TCP congestion window size are dynamically adjusted, and the network state is rapidly adapted to fully occupy the available bandwidth; and finally, abnormal values in the speed measurement result are eliminated through an IQR algorithm, an effective average value is calculated, the speed measurement result fitting the real bearing capacity of the broadband line is finally output, and meanwhile, the requirement of an operator for local accurate speed measurement of a user side is met.

The invention provides a comprehensive congestion control and adaptive transmission optimization method based on WAPI, and belongs to the field of communication. The key problems that under the wireless communication environment based on the WAPI security standard in the electric power Internet of Things, network congestion is difficult to dynamically regulate and control, data transmission is prone to disorder, and a retransmission mechanism lacks intelligent adaptation are solved, and the method comprises the following steps that WAPI environment initialization and security association establishment are carried out; based on a WAPI and reinforcement learning congestion control framework, a teacher-student distillation mechanism is adopted to extract a symbol strategy, and multi-context branch agents are integrated to adapt to different network conditions, so that long-term congestion planning and dynamic rate adjustment are realized; optimizing a data packet sequence and congestion window growth coupling in multi-path transmission through ECN marking and correlation verification; running a WAPI security aware adaptive retransmission module, and dynamically selecting unicast or multicast retransmission in combination with a WAPI security mechanism; the present application is applied to WAPI.

The present disclosure relates to field of wireless communication network that discloses method and system for configuring initial congestion window value in User Equipment (UE (201)). UE (201) determines for each of one or more applications running in UE (201), user experience parameters and UE (201) network parameters. Further, UE (201) predicts using trained Artificial Intelligence (AI) model (203), an optimal initial congestion window value for each of one or more applications based on correlation of user experience parameters and UE (201) network parameters corresponding to each of one or more applications. Finally, UE (201) configures optimal initial congestion window value for each of one or more applications based on prediction. The present disclosure helps in reducing Flow Completion Time (FCT) of each application by predicting optimal initial congestion window value dynamically.

The application provides a traffic identification method and device, a storage medium and a computer program product, which include: performing feature extraction on first data traffic to obtain a first type of feature vector; the first type of feature vector includes a data packet payload type of feature vector and / or a congestion window type of feature vector; and the first type of feature vector is used to identify the first data traffic to obtain a traffic type of the first data traffic; the traffic type includes an anonymous proxy type and / or a general type. The accuracy of traffic identification can be improved.

The invention discloses an adaptive gradient congestion control method based on utility function driving and related equipment. The method comprises the following steps: acquiring a monitoring parameter and a historical monitoring value of a target transmission link; judging whether the monitoring period ends or not through a timer; if the monitoring period is not finished, target windows of different emphasized targets are quantified based on historical monitoring values and real-time monitoring parameters; performing weighted dynamic fusion on each target window based on the fusion factor corresponding to the previous monitoring period to update the congestion window of the target transmission link; if the monitoring period is finished, based on the historical monitoring value and the monitoring parameters in the monitoring period, the utility value of the monitoring period is obtained through utility function quantification, the fusion factor is adaptively updated based on the increment trend of the utility value, the next monitoring period is triggered, and the congestion window of the target transmission link is continuously adjusted. The method can meet the actual deployment requirements of a high-performance network on low overhead and fast response, and can be widely applied to the technical field of data processing.

The present disclosure relates to a 5G or 6G communication system for supporting higher data transmission rates than 4G systems such as LTE. A method for operating a proxy in a wireless communication system combining a terrestrial network and a satellite network according to an embodiment of the present invention comprises the steps of: acquiring, from a server for managing a satellite, configuration information about a satellite cell that connects with a user equipment in which a transport control protocol (TCP) session is to be set up; calculating a first round trip time (RTT) between the satellite cell and the satellite and the data rate of the satellite cell on the basis of the configuration information about the satellite cell; and setting a congestion window (CWND) value for the TCP session on the basis of the first RTT and the data rate of the satellite cell.

The application discloses a congestion control scheduling method and system based on deep reinforcement learning and oriented to task differences, which comprises the following steps: network topology configuration is performed; an application layer task flow is generated; network protocol stack running configuration is performed; a customized congestion control module is realized; data collection is performed; reward construction is performed; reinforcement learning training is performed; an action space is designed according to the scheduling strategy difference of different task flows; the congestion window adjustment is mapped to an action set according to the focus of each task on performance indicators, so that the intelligent agent can output corresponding scheduling strategies according to the task flow difference, thereby realizing adaptive congestion control oriented to the task difference. The application has high configurability and real mapping, and each module designed can correspond to the related network function in the Linux kernel. The data structure and processing logic collected in the system are also based on the realization in the real operating system kernel, and therefore have strong real feasibility.

Systems and methods are provided for adjusting congestion window size in response to detecting or predicting changes in driving conditions. For example, a method of the presently disclosed technology may involve: (1) detecting or predicting a change in positional relationship between a first vehicle and a second vehicle; (2) based on the detected or predicted change in positional relationship, predicting a change in throughput for a wireless communication link between the first vehicle and the second vehicle; and (3) based on the predicted change in throughput, adjusting size of a congestion window for the wireless communication link.