12 results about "Active queue management" patented technology

An RDMA queue pair multiplexing method based on a shared memory efficiently maps a large number of logical queue pairs (LQPs) to a small number of physical queue pairs (PQPs), and combines shared memory zero-copy communication and O (1) active queue management, so that ten thousand-level LQPs are supported by a small number of PQPs, the overhead of a single-connection memory is reduced by about 60%-64%, and context jitter of a network interface card (NIC) is avoided; the connection establishment time delay and the short flow end-to-end time delay are greatly reduced; through O (1) active tracking and batch processing, CPU idling and system calling overhead are greatly reduced, and high throughput and expandability are achieved; the method can be implemented in a pure user mode, a kernel or NIC does not need to be modified, and the method can be immediately deployed in an existing RDMA environment.

The application discloses a kind of based on the naming data network hop-by-hop congestion control method of forwarding path number, including router congestion detection and router congestion control;Router calculates the congestion degree of local router by means of active queue management method.Routers determine local congestion state and update the congestion information of data packet.Downstream adjacent router is based on the number of forwarding path and executes multipath forwarding strategy or interest packet sending rate adjustment strategy.When router executes multipath forwarding strategy, the router calculates the shunt proportion of interest packet flow of current interface according to the congestion information of data packet and forwards flow through current or relatively suboptimal interface.When router executes interest packet sending rate adjustment strategy, the router adjusts the interest packet sending rate of same name prefix according to the congestion information of data packet.The application proposes two router control strategies for the characteristics of multiple-source multipath transmission of named data network, to cope with single-path flow and multi-path flow in network.

The invention provides an FPGA-based multi-queue scheduling system and a congestion avoiding method. The FPGA-based multi-queue scheduling system comprises a data packet queue analysis module, an active queue management module, an on-chip queue module, an off-chip queue module, a DEMUX module and an MUX module. The threshold value and the depth of each queue are established and maintained on a chip, the cache states of the on-chip and off-chip queues are combined as congestion information, input data packets are judged and distributed, the data cache requirement is met under the condition of relieving congestion, and meanwhile the transmission efficiency is considered. The storage spaces of the on-chip queue and the off-chip queue are configurable, and the flexibility and the programmability are good; the active queue management performance depends on the receiving performance of the on-chip cache module and the off-chip cache module, the judgment process does not affect the pipeline performance, and the overall output efficiency during data stream merging output can be considered while the data cache requirement is met.

A queue management system (including but not limited to active queue management systems, traditional networks, and / or software-defined networking), method, computer program product, or integrated circuit that selectively manages flows based on methods for how the data of the flows have been encoded (such as FEC and / or compression) and / or characteristics of the flows (including but not limited to loss-recovery capabilities). Similarly, an encoder system, method, computer program product, or integrated circuit can make encoding decisions based on known and / or anticipated queue management policy (e.g., an FEC encoder may be configured to make frame splitting, parity symbol allocation, and / or packetization decisions based on known and / or anticipated queue management policy, and a data compressor may be configured to make data compression decisions based on known and / or anticipated queue management policy).

Described herein are devices, networks, systems, methods, and procedures for identifying, classifying, and scheduling low-latency, low-loss, and scalable throughput (L4S) traffic. A device can receive a data flow comprising one or more data packets. The device can parse the one or more data packets to check for a congestion indicator. Upon detecting the congestion indicator in any of the data packets, the device can classify or mark the data flow as L4S. The device can schedule the data flow by utilizing an active queue management (AQM) queue for L4S data flows. The device can also mark other uplink or downlink data flows associated with the data flow as L4S. The device can also facilitate L4S capability sharing while associated with one or more wireless devices. The device can utilize a management frame with an extended capabilities field to advertise the L4S capability of the device.

The application provides a kind of active queue management method based on dynamic bandwidth perception, comprising: S1, real-time response data packet arrival, obtain the available bandwidth value of current network link and the length of data packet queue;S2, according to the available bandwidth value of current network link and the preset target forwarding delay, calculate the current congestion threshold;S3, compare the length of current data packet queue and the size of current congestion threshold, when the length of current data packet queue is greater than or equal to current congestion threshold, it is congestion state;When in congestion state, further judge whether the data stream to which the current arrived data packet belongs is aggressive flow, if it is aggressive flow, then according to the preset packet loss method, the current arrived data packet is randomly discarded.The application maps the changing link available bandwidth into dynamic threshold to manage queue, so that network device can efficiently utilize network bandwidth;Through dynamic identification of aggressive flow and targeted setting of packet loss strategy, network device can provide forwarding service more fairly.

A queue management system (including but not limited to active queue management systems, traditional networks, and / or software-defined networking), method, computer program product, or integrated circuit that selectively manages flows based on methods for how the data of the flows have been encoded (such as FEC and / or compression) and / or characteristics of the flows (including but not limited to loss-recovery capabilities). Similarly, an encoder system, method, computer program product, or integrated circuit can make encoding decisions based on known and / or anticipated queue management policy (e.g., an FEC encoder may be configured to make frame splitting, parity symbol allocation, and / or packetization decisions based on known and / or anticipated queue management policy, and a data compressor may be configured to make data compression decisions based on known and / or anticipated queue management policy).

In one aspect, an electronic active queue management system (AQMS) may be used to identify processing capacity of entry points and quantifiable amounts of congestion at a land port of entry (LPOE) based on one or more real-time measurements of traffic flow. Based on the amount(s) of congestion, the AQMS may dynamically manage arrival times at the LPOE through one or more lanes of the LPOE, controlling wait times in the queue system. As part of managing arrival times at the LPOE, the AQMS can schedule arrival times for vehicles and / or people at the dedicated lane of the LPOE. The arrivals may be scheduled through a dedicated AQMS app, through a web-based interface, and / or through telephone text messaging. Present principles may also be used for queue management at airports, concerts, sporting events, etc.

The invention provides a dynamic priority dual-channel active queue management method, which comprises the following steps that: data packet forwarding is carried out based on a configured dual-channel forwarding queue, the dual-channel forwarding queue comprises a main queue and an auxiliary queue, and the forwarding mode comprises the following steps: judging whether the main queue is in a congestion state or not in real time; when the main queue is in a congestion state, judging whether each newly arrived data packet needs to be jumped, and when the newly arrived data packet needs to be jumped, putting the newly arrived data packet into an auxiliary queue so as to preferentially forward the newly arrived data packet before all the data packets of the main queue are forwarded; and when the main queue is in a non-congestion state or queue jumping is not needed, putting the newly arrived data packet into the main queue for queuing and forwarding. According to the technical scheme of the invention, aiming at a congestion scene, a part of newly arrived data packets can be temporarily guided to the auxiliary queue, so that the congestion pressure is relieved, and key services are ensured not to be influenced by common service congestion.

A wireless IEEE 802.11 queuing architecture supporting Low Latency Low Loss Scalable throughput (L4S) and Dual Queue Active Queue Management (AQM) in which queues for both L4S streams and classic streams are contained in the medium access control (MAC) layer, and one or more of these queues are configured with more than one internal queue, to which different L4S packets and other packet types are retained in different internal queues within the MAC transmit queues. The MAC queues are configured for MAC layer buffering of L4S packets and classical packets in separate queues and / or queues having internal queues for buffering different packet types, classifications, latency sensitivity, QoS considerations, and so forth. The architecture also allows for multiple packet queues in the upper layers above the MAC layer.

A wireless IEEE 802.11 queuing architecture supporting Low Latency Low Loss Scalable throughput (L4S) and Dual Queue Active Queue Management (AQM) in which queues for both L4S streams and classic streams are contained in the medium access control (MAC) layer, and one or more of these queues are configured with more than one internal queue, to which different L4S packets and other packet types are retained in different internal queues within the MAC transmit queues. The MAC queues are configured for MAC layer buffering of L4S packets and classical packets in separate queues and / or queues having internal queues for buffering different packet types, classifications, latency sensitivity, QoS considerations, and so forth. The architecture also allows for multiple packet queues in the upper layers above the MAC layer.

The invention relates to the technical field of low-altitude unmanned aerial vehicle communication, in particular to an intelligent active queue management method for low-altitude unmanned aerial vehicle relay transmission, and aims to overcome the defect that traditional queue management is one-cut in a dynamic environment and a multi-service scene. The invention provides an intelligent active control scheme based on a SAC (Soft Actor-Critic) deep reinforcement learning framework. An intelligent agent senses transmission queue characteristics and channel quality in real time and outputs continuous actions to finely schedule transmission opportunities of data packets with different priorities; the multi-target reward function synchronization guarantees the low-delay demand of the high-priority data packet and punishes low-efficiency transmission, so that the energy consumption is reduced; after knowledge distillation compression, the data are embedded into unmanned aerial vehicle edge hardware, millisecond-level real-time decision and low-power-consumption operation are realized, collaborative optimization of communication efficiency and energy efficiency is achieved, and a sustainable intelligent solution is provided for low-altitude relay.