50 results about "Congestion control algorithm" patented technology

The invention discloses a differentiated congestion control method based on RDMA (Remote Direct Memory Access) and a hardware controller system. In the invention, a differentiated congestion control algorithm is provided by using the DSCP, so that the limitation of complete fair regulation and control of the traditional congestion control algorithm is broken through, accurate resource allocation for different flow types is realized, and a more efficient bandwidth utilization rate is achieved under the congestion condition; complete hardening of a congestion controller system is realized, a scheme for dynamically supporting all congestion flows in a network and supporting 1024 concurrent congestion flows at most is provided, and the congestion flows in the network can be managed more efficiently to achieve the purpose of relieving network congestion; the data which is read from the host and participates in operation does not need to be stored in the cache, so that the burden of the host is reduced, the performance reduction caused by bus data reading delay is eliminated, the processing speed of the parallel congestion event is remarkably improved, and the delay of rate feedback is reduced.

The embodiment of the invention relates to the technical field of photovoltaic communication testing, and discloses a distributed photovoltaic multi-protocol communication testing method and related equipment, and the method comprises the steps: determining whether to switch a communication protocol or not according to a communication quality parameter and a parameter threshold value based on the interference of a network signal attenuation simulator on a communication signal, the method comprises the following steps: caching communication data based on a multi-level data caching mechanism, detecting communication interruption, continuously transmitting interrupted data based on a congestion control algorithm, identifying data loss through a missing data algorithm, and complementing the data through a complementing algorithm. And generating a test report according to the data recovery rate, the time efficiency index, the resource consumption index, the protocol adaptability index, the protocol switching parameter, the cache parameter, the continuous transmission parameter and the data completion parameter. According to the embodiment of the invention, tests of communication protocol switching, data caching, interruption identification, data continuous transmission, data loss identification and complementation in various weak network environments can be simulated, the test precision is high, and the test effect is good.

The invention provides a satellite communication method and device, computer equipment and a storage medium, the method is applied to a satellite communication system, the satellite communication system comprises user equipment, a first modem, a second modem and a target server, and the method comprises the following steps: responding to a communication connection request of the user equipment to the target server; creating a satellite communication link between the user equipment and the target server through the first modem and the second modem; and performing data transmission control on the satellite communication link based on a dynamic bandwidth delay product window model and a BBRv2 congestion control algorithm. Based on the scheme of the invention, the transmission performance in a high-delay and high-error-code environment is remarkably improved while the transparent proxy of a satellite link is realized.

The invention provides a round-trip delay correction method and system based on a reverse path timestamp. The round-trip delay correction method comprises the following steps: acquiring a data packet sending timestamp, an acknowledgement packet sending timestamp and an acknowledgement packet receiving timestamp; a reverse path time delay sample is dynamically stored through a sliding window, and reference time delay is calculated by selecting a minimum value method or a least square regression method according to the sample size; removing reverse path congestion interference in the round-trip delay according to a difference value between the current reverse path delay and the reference delay to obtain a corrected round-trip delay; and the reference time delay of the same source-destination pair is shared under the symmetric topology. According to the method, forward path congestion and reverse path congestion can be accurately separated, misjudgment caused by reverse path congestion of traditional RTT is avoided, and the bandwidth utilization rate and the short flow performance of a congestion control algorithm are improved; through hardware timestamp and dynamic baseline estimation, low-cost deployment without hardware transformation is realized, and the method is suitable for high-precision time delay optimization of the data center network.

The embodiment of the present application relates to the technical field of photovoltaic communication test, and discloses a kind of distributed photovoltaic multi-protocol communication test method and related equipment, the method comprises: communication signal interference is simulated based on network signal attenuation simulator, whether communication protocol is switched according to communication quality parameter and parameter threshold value, communication data is cached based on multi-level data caching mechanism, communication interruption is detected, and interrupted data is continued to be transmitted based on congestion control algorithm, data loss is identified by missing data algorithm, data is completed by completion algorithm, and test report is generated according to data recovery rate, time efficiency index, resource consumption index, protocol adaptability index, protocol switching parameter, caching parameter, continuation parameter and data completion parameter.The embodiment of the present application can simulate the test of communication protocol switching, data caching, interruption identification, data continuation, data loss identification and completion under a variety of weak network environments, and has high test precision and good test effect.

The invention provides a communication method and device, and the method comprises the steps: a terminal device can determine the maximum uplink rate and the maximum downlink rate of a current air interface, and notifies a server of the maximum downlink rate, so that after the terminal device and the server establish a communication connection, the maximum uplink rate and the maximum downlink rate of the current air interface can be obtained. The terminal device can send uplink service data to the server according to the maximum uplink rate, and the server can also send downlink service data to the terminal device according to the maximum downlink rate of the terminal device. According to the method, the process that the sending window and the transmission rate are gradually increased through multiple rounds of detection and iteration in the initial stage by a congestion control algorithm used by the terminal equipment and the server can be avoided, so that the transmission delay of uplink service data and downlink service data is reduced, and the communication efficiency between the terminal equipment and the server is improved; and the time for completing the uploading and downloading tasks by the terminal equipment is obviously shortened.

The present invention discloses a method for suppressing jitter in a TCP-based network tunnel. The method comprises deploying a virtual private network (VPN) protocol within a client / server architecture, installing a server and client, and using the TCP protocol to connect the client and server through a dial-up parameter negotiation process and a tunnel data transmission process to encapsulate, encrypt, and transmit data packets. By encapsulating, encrypting, and transmitting IP data packets within the TCP protocol format, the method retains TCP's three-way and four-way handshake mechanisms while eliminating the acknowledgment, retransmission mechanism, and the corresponding complex congestion control algorithms. Furthermore, the method utilizes forward error correction (FEC) codes within a custom VPN protocol to achieve high-efficiency, high-reliability, and low-latency jitter transmission of network data packets, while also offering good adaptability to Internet environments.

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.

Example methods and network interface devices for congestion control are described. In one example, a network interface device may include a first processing layer and a second processing layer. The first processing layer may receive an event notification from the second processing layer. In response to determination that congestion control is required based on the event notification, the first processing layer may determine an adjustment to a packet forwarding parameter by applying a congestion control algorithm. The congestion control algorithm may be one of multiple congestion control algorithms that the first processing layer is programmable to apply. The first processing layer may generate and send an instruction to the second processing layer to perform the adjustment. Based on the instruction, the second processing layer may configure a component to control packet forwarding towards a physical network based on the second value of the packet forwarding parameter.

The invention discloses a data center network transmission enhancement method based on bandwidth resource management, and belongs to the technical field of network transmission, a data center is provided with physical priority queues, and each physical priority queue comprises a plurality of network transmission flows. Each network transmission flow has a corresponding original congestion control algorithm and ideal round-trip time, and the transmission enhancement algorithm comprises the following steps: for a physical priority queue, performing priority ranking on all the network transmission flows contained in the physical priority queue to form a virtual queue, and allocating independent delay ranges to all the network transmission flows of the virtual queue; measuring the current time delay of each network transmission flow; and judging the size relationship among the current time delay, the time delay range and the ideal round-trip time, and obtaining a transmission rule for real-time network transmission. According to the method, the performance of high-priority traffic is guaranteed, the bandwidth utilization rate of low-priority traffic is improved, meanwhile, hardware does not need to be changed, and the method is easy to deploy and efficient.

A computer system for managing congestion control of packets includes a processor that implements a network traffic manager including a congestion controller and a socket. The congestion controller determines messages parameters for packets of a plurality of messages and assigns a congestion control algorithm setting to each packet based on the message parameters associated with each packet. The socket includes a buffer with a queue having a plurality of threshold queue positions. The congestion controller determines that a subset of packets exceeds at least a first threshold queue position and selects a congestion control action for each packet in the subset based on the assigned congestion control setting for each respective packet and a position of each respective packet relative to the plurality of threshold queue positions.

The application provides a kind of congestion control method and device of cross-data center RDMA network based on near-end control, comprising: in the transmission of cross-data center network data, when the data packet congestion sent by upstream data center to upstream switch is detected in upstream switch, preset congestion control algorithm is used to generate departure notification message, and upstream data center adjusts sending rate according to departure notification message;In downstream data center, when the data packet congestion sent by downstream switch to downstream data center is detected, preset congestion control algorithm is used to generate arrival notification message, and downstream switch adjusts sending rate according to arrival notification message;In downstream switch, long-distance notification message is generated according to the total amount of data packet completed forwarding periodically, and upstream switch adjusts forwarding rate according to long-distance notification message and preset data packet limit number.The method provided by the application is suitable for cross-data center network, the congestion control loop is short, and the fairness between each flow is guaranteed.

The application discloses a high-precision flow control protocol simulation system and method for large-scale networks, and relates to the field of network operation simulation services.In the system, a user flow control protocol integration module automatically converts a congestion control protocol algorithm or a flow control protocol provided by a user into a BPF program; a congestion control protocol simulation module compiles the BPF program into bytecode capable of being run by a Linux kernel and mounts the bytecode at a hook function.A flow generator generates flow by using the mounted congestion control algorithm or flow control protocol; a data collection and processing module collects and processes the flow of the flow control protocol simulation experiment by using a database; and an experimental network topology management tool generates a network topology and performs a simulation experiment based on the flow generated by the flow generator.The application can reduce simulation overhead, completely and truly reflect complex conditions in an actual network, and thus does not limit the applicability and authenticity of simulation results.

A method of improving the utilization of a data communications link is provided. The method includes sending a request, to a round trip time, RTT, meter (304), requesting a measurement of the base round trip time of a data communications flow. The method includes setting an increase parameter of a congestion control algorithm based on the base round trip time measurement received from the round trip time meter in response to the request.

The invention provides a congestion control selection method and system based on reinforcement learning, and relates to the technical field of network congestion control. The method comprises the following steps: firstly, in an offline preparation state, dividing a network state into a plurality of grades, and matching a candidate congestion control algorithm pool for each network grade; after entering an online running state, collecting currently running network performance data, determining the grade of the currently running network performance data, loading a corresponding candidate congestion control algorithm pool, and monitoring the network dynamic state so as to feed back and adjust a network grade division basis of an offline stage; and a reinforcement learning agent is introduced, the selection of the congestion control algorithm is used as the action of the reinforcement learning agent, the reinforcement learning agent is trained, and the trained reinforcement learning agent is utilized to decide and output the congestion control algorithm. The preparation of the offline stage accelerates the convergence speed of training, can quickly and dynamically switch to the current optimal congestion control algorithm, and ensures the stability and high efficiency of network transmission.

The application provides a multi-objective transmission control method realized by a self-evolution method, fairness is generally defined as whether resource allocation of competitive traffic in a network is equal, but previous transmission control methods only consider equal distribution of bandwidth when multiple flows coexist, and ignore other valuable transmission resources such as stability and responsiveness, the application can make trade-off between transmission performances and maintain fairness between flows; secondly, the application evaluates multi-objective performance influence of a congestion control algorithm at a system level based on system analysis and theoretical reasoning of the network, and proposes a comprehensive mathematical expression; finally, the application introduces an online evolution congestion control solution generation algorithm based on a first-order derivative, effectively navigates a Pareto front of performance of the congestion control algorithm, and realizes trade-off between multi-dimensional performance objectives.

In order to facilitate applying a congestion control algorithm such as DCQCN to long-distance data transmission, this data transmission device for transmitting data to a data reception device comprises: an acquisition unit that acquires information regarding communication latency between the data transmission device and the data reception device; an adjustment unit that, before data is transmitted, adjusts a parameter relating to increasing the transmission rate in the congestion control algorithm, on the basis of the information regarding the communication latency; and a rate control unit that, using the parameter, controls the transmission rate of the data by means of the congestion control algorithm.

The invention relates to the technical field of end network congestion control, and discloses an end network convergence congestion control method and device, and the method comprises the steps: constructing and initializing a plurality of transmission queue pairs; obtaining measurement data round-trip time, confirmation data packet quantity and congestion notification packet quantity corresponding to the transmission queue pair; and based on the measured data round-trip time, the acknowledgement data packet number and the congestion notification packet number, respectively performing data distribution on the plurality of transmission queue pairs by using a congestion control algorithm so as to transmit data through the plurality of transmission queue pairs. According to the invention, the problem of poor congestion control effect caused by jitter or inaccuracy of single-dimensional information is avoided, and the accuracy of congestion control is improved.

The invention discloses a bandwidth prediction method and device, a medium, electronic equipment and a program product. The method applied to a receiving end comprises the following steps: in response to receiving a first data packet sent by a sending end, generating first feature information of a first network in a first time window according to the first data packet and a historical data packet; inputting the first feature information into a bandwidth prediction model to obtain a current bandwidth prediction value; sending the current bandwidth prediction value to a sending end; and the sending end is used for adjusting the sending rate and the size of the congestion window according to the current bandwidth predicted value. The bandwidth prediction work is completed at the receiving end, and the prediction result is fed back to the sending end, so that the dependence on the optimization congestion control algorithm of the sending end is eliminated, and the CDN is ensured to uniformly adopt a standardized congestion control strategy. A bandwidth prediction method based on a bandwidth prediction model is adopted, and the method can quickly adapt to a dynamically changing network environment. In addition, when the network has a problem, the receiving end can automatically and efficiently check the problem, and external dependence is reduced.

The invention discloses a method and system for dynamically adjusting a congestion control algorithm based on reinforcement learning, and the method comprises the steps: obtaining the round-trip time of network transmission when a network state is changed, and mapping the round-trip time into a current environment state of a network, taking the current environment state of the network as the state of a reinforcement learning algorithm, selecting a certain congestion control algorithm from a preset congestion control algorithm list as the action of the reinforcement learning algorithm, and updating the Q value of each congestion control algorithm in the congestion control algorithm list in the current environment state by using the reinforcement learning algorithm; and when the connection of the network is established, sorting is carried out according to the Q value of each congestion control algorithm in the congestion control algorithm list under the current environment state, and the congestion control algorithm with the minimum Q value under the current environment state is selected according to a preset probability to carry out congestion control. The invention aims to automatically select a network congestion control algorithm suitable for the network condition aiming at the network congestion problem in the network transmission process.

The invention relates to a communication method comprising: - determining a congestion ratio for a communication channel based on measured data; - obtaining, for each terminal in a set of terminals (312, 316, 324), a requirement (504) for radio resources related to the communication channel; and - determining, individually for each terminal in the set of terminals, a respective congestion control table (520) based on the determined congestion ratio of the communication channel and further based on the requirement of each respective terminal.

The application discloses a data transmission method in a network, which is applied to a sending device and comprises the following steps: determining a current network state of a network between the sending device and a receiving device; if the current network state indicates that the network is currently normal, calling a first congestion control algorithm in a transmission protocol which supports the normal network to perform network data transmission; and if the current network state indicates that the network is currently a weak network, calling a second congestion control algorithm in the transmission protocol which supports the weak network to perform network data transmission. It can be seen that the application supports the congestion control under the normal network and the weak network simultaneously, and selects a proper congestion control algorithm according to the current network state to perform network data transmission, thereby improving the data transmission performance. The application further discloses a data transmission system and device in a network and a computer readable storage medium, which have the same beneficial effects as the data transmission method.

The invention discloses a network congestion control method and device. The method comprises the following steps: acquiring target network state data of a target network transmission path; determining a target network state feature corresponding to the target network state data by using a convolutional sparse coding mode; analyzing the target network state features by using a pre-trained deep reinforcement learning model to obtain a target congestion control parameter for the target network transmission path; and controlling the transmission process of the target network transmission path according to the target congestion control parameter. According to the invention, the technical problems of poor adaptability and low response speed of a traditional congestion control algorithm in a network transmission scene are solved.

An improved method of performing congestion control on a network device is disclosed. The network device establishes a plurality of connections with two nodes. After receiving a data packet from a first node, the network device transmits data to a second node through the plurality of connections according to an outbound traffic policy. When network congestion reaches a certain threshold, the network device may establish multiple new connections with the second node, assigning different congestion control algorithms to them, and replacing multiple connections previously established between the network device and the second node.

The invention belongs to the technical field of cross-data center congestion control, and particularly relates to a cross-data center scene congestion control method based on switch queue state information. Aiming at the problems that the cache of an external switch is easy to overflow, cross-data-center traffic preempts internal network resources of a data center to cause an unfairness phenomenon, mixed characteristic traffic causes network congestion of the data center and the like in a cross-data-center scene, the invention provides a method for realizing cross-data-center network congestion by depending on queue state information of the internal switch of the data center. And a congestion control algorithm for early warning an external switch in advance. According to the algorithm, the state of the external switch can be dynamically adjusted, and the congestion of the data center can be responded in advance. Experimental results show that the external switch cache overflow can be effectively prevented in a cross-data-center scene, network congestion is reduced, and network resource allocation fairness is improved.

This invention relates to the field of flow control or congestion control, and more particularly to a virtualized data center network transmission strategy, including the DCTCP protocol in vSwitch and a priority-based dynamic and static bandwidth allocation strategy. The DCTCP protocol in vSwitch is used to determine the support for ECN by the virtual machines at the sending and receiving ends. Data packets are sent by the sending virtual machine, and upon arrival at vSwitch, the packets are forcibly set to ECN_Capable, achieving unified and flexible configuration of the congestion control algorithm without affecting user virtual machines. Users with administrator privileges or high-quality service policies are classified as core users, and those without are classified as ordinary users. Static priority schemes and dynamic priority schemes are used respectively. The static priority scheme improves the service quality of core users while reducing the impact of competition for ordinary users. The dynamic priority scheme allows the network itself to adjust the sending window according to priority, effectively improving data center throughput, service quality, and fairness.

The present disclosure proposes a solution on a cell congestion detection and resolution. Further, it also proposes a stepwise congestion control algorithm and mitigation. In this way, it can help most of the NBR UEs from to meet their NBR requirement, and also prevent starving other non-GBR UEs from receiving any resources. Additionally, it also prevents cell-load oscillation and ping-pong, which prevents many UEs from being deprioritized during congestion or being re-prioritized when congestion is relieved.

The present invention belongs to the field of wireless communication technologies, and particularly relates to a low-latency QUIC protocol transmission method and system. In the transmission method of the present invention, an active forward error correction coding mechanism based on packet loss rate estimation is adopted, and the coding mechanism is called stream coding; during the transmission process, all lost packets rely on stream coding for recovery; the sender adaptively adjusts the target code rate of the stream coding based on the estimation of the link packet loss rate and automatically selects whether to send repair packets based on the target code rate; when packet loss occurs during the transmission process, the receiver uses the subsequently received repair packets to complete data recovery; Westwood+ is adopted as the congestion control algorithm of QUIC in the transmission method, reducing the end-to-end ordered delivery latency in the long-latency link and improving the throughput of the link.

Systems and methods are provided for implementing enhanced Low Latency, Low Loss, and Scalable throughput (L4S) mechanisms at a bottleneck network node to detect and more accurately / selectively address congestion. Low and high watermark limits can be established for access category (AC) queues at the bottleneck network node, such as an access point (AP). Incoming packets can be analyzed to determine their priority, and then assigned to an AC queue. Depending on the state of a queue (whose thresholds can differ) packets can be marked or not marked with a “congestion experienced” (CE) indication. Additionally, if a congestion indication is received by an AP from a receiver application, but the congestion no longer exists, the AP can forgo forwarding this feedback upstream.

The invention relates to the technical field of communication, and provides a user-defined RDMA (Remote Direct Memory Access) congestion control simulation method, which comprises the following steps that: a host side request end initializes related congestion control parameters; the host side request end sends a data packet according to the current congestion control algorithm; the switch side forwards the data packet, and executes ECN marking or INT information insertion according to a congestion control algorithm; after receiving the data packet, the host side response end generates feedback information according to the network state; and the host side finishing end analyzes the feedback information, calls a corresponding congestion control algorithm to process logic, and executes rate adjustment. According to the method, a user can flexibly realize and deploy a self-defined congestion control mechanism, and function verification and performance evaluation are carried out on an algorithm in a simulation environment.