11 results about "Dynamic bandwidth allocation" patented technology

The utility model relates to computer interface conversion technical field especially, it relates to a kind of XMC NVMe card multifunctional adapter plate, including adapter plate, the adapter plate is equipped with XMC interface, PCIe interface, NVMe controller, dynamic bandwidth distributor;The XMC interface is two independent XMC connectors, for connecting XMC module;The PCIe interface is for adapter plate insertion PCIe slot of mainboard;The NVMe controller is electrically connected between XMC interface and PCIe interface, supports dual-port NVMe 1.4 protocol, for realizing the NVMe protocol conversion and command processing between XMC module and host system;The dynamic bandwidth distributor is electrically connected between the NVMe controller and PCIe interface, for according to preset mode, dynamically adjust the PCIe channel quantity distributed to two XMC modules, the utility model can be realized by FPGA dynamic bandwidth distributor, flexibly adjust PCIe channel distribution, solve the problem of resource waste caused by fixed bandwidth, while combining temperature control module and dual-port NVMe management, improve expandability and reliability.

The application relates to the field of quantum key distribution and network security technology, in particular to a zero-trust encryption tunnel construction method and system based on quantum security enhancement. In the system, a QKD key management unit binds a global timestamp to a pre-distributed key by using the natural synchronization characteristics of quantum key generation, realizing high-precision time synchronization at both ends of communication; a local AI risk inference unit deploys a lightweight model optimized by quantitative distillation, completing real-time inference of local security risks at the edge; a double-rail encryption tunnel unit constructs parallel double tunnels and realizes adaptive scheduling of encryption resources through dynamic bandwidth allocation; a dynamic switching control unit realizes seamless switching of the encryption tunnel through handshake-free tunnel switching and state verification rollback; and a mobile adaptation processing unit completes high-probability link key pre-distribution based on trajectory prediction, realizing efficient adaptation of the key of the mobile terminal, so that the real-time performance, stability, bandwidth utilization and key resource use efficiency of the encryption communication are improved.

This invention discloses a real-time transmission and management system for ETC intelligent control cabinet operation data, comprising: a cabinet status perception Bayesian network module, a dynamic bandwidth allocation game theory model module, a transmission link reliability assessment model module, a cabinet edge resource optimization and configuration platform module, an ETC operation data acquisition module, and a data transmission control module. The system acquires transaction, equipment, and communication data within the cabinet through the ETC operation data acquisition module, combines this with cabinet operation parameters captured by the cabinet status perception module, formulates an optimal bandwidth strategy through the dynamic bandwidth allocation module, determines the link status through the transmission link assessment module, configures edge node resources through the edge resource optimization platform, and finally dynamically adjusts the transmission parameters through the data transmission control module. This system achieves multi-module collaborative operation, improves the real-time performance and stability of ETC operation data transmission, increases edge resource utilization, effectively solves the problems of multi-module disconnect and poor data fusion in existing technologies, and ensures the efficient operation of the ETC system.

The application belongs to the technical field of server control, and particularly relates to a computing and storage split type server control method for low-delay interaction, which constructs a split type architecture with separated computing and storage, monitors interaction requests in real time, extracts type features, data volume space-time distribution features and priority decay coefficients to construct a request feature vector, dynamically allocates communication bandwidth based on the features, corrects the allocation result in combination with the priority decay coefficients, predicts data access probability through an LSTM model fused with an attention mechanism, preloads target data shards to a multi-level cache according to access heat, collects computing node data in real time to perform dynamic health score, and selects an optimal target node to migrate interaction requests and associated data based on a real-time communication delay matrix when the score is lower than a threshold. The application significantly improves the low-delay interaction performance of the server, improves bandwidth utilization and data access efficiency, and guarantees stable operation of the system through dynamic bandwidth allocation, intelligent preloading and node health management.

The present application discloses a dynamic bandwidth allocation method and system, a device, and a medium. The method comprises: separately acquiring ONUs in a current PON and corresponding actual loads; on the basis of the ONUs and the actual loads, determining rogue ONUs and normal ONUs in the PON; and according to an equal allocation requirement, equally allocating bandwidth to the rogue ONUs, obtaining the remaining bandwidth, and equally allocating the remaining bandwidth to the normal ONUs. In the present application, bandwidth allocation for rogue ONUs is restricted to an equal bandwidth requirement of other ONUs, so that bandwidth available for allocation to the other ONUs can be increased, thereby ensuring reasonable bandwidth allocation, and mitigating impact of DDoS attacks.

This disclosure discloses a dynamic bandwidth allocation system, a dynamic bandwidth allocation method, and a server, relating to the field of server technology. The dynamic bandwidth allocation system includes a processing unit, a management controller, a configuration storage unit, and a selection unit. The processing unit has at least one high-speed interconnect bus interface. The configuration storage unit stores link bandwidth configuration information for the high-speed interconnect bus interface. In response to server power-on, the management controller retrieves the corresponding link bandwidth configuration information from the configuration storage unit based on a mode selection signal and provides this information to the processing unit. The processing unit configures the link bandwidth of the corresponding high-speed interconnect bus interface according to the link bandwidth configuration information. By decoupling bandwidth allocation information from traditional hardware circuitry, and implementing dynamic and flexible allocation of high-speed interconnect bus interface link bandwidth in a software-defined manner, the system solves the problem of maintenance and reconfiguration difficulties caused by fixed hardware bandwidth configuration.

This invention provides an AI-based method and system for traffic scheduling of routers, gateways, and cameras in the field of communication technology. The method includes: Step S1, the gateway or router collects data traffic from each network device in the local area network in real time; Step S2, using an AI recognition model to analyze the behavioral characteristics of the data traffic to identify video streams generated by cameras and distinguish their service types; Step S3, based on the service type, current network status, and user policies, generating a dynamic bandwidth allocation scheme through an AI scheduling decision model; Step S4, according to the dynamic bandwidth allocation scheme, sending a bitrate adjustment command to the corresponding camera through a private signaling channel; Step S5, the camera responds to the bitrate adjustment command and dynamically adjusts its own video encoding parameters to achieve coordinated scheduling of network traffic. The advantages of this invention are: in complex multi-device environments, it prioritizes the service quality of critical audio and video services and improves the overall network resource utilization efficiency.

The application provides a multi-card cooperative Internet of Things communication link stability control method and system, which comprises device initialization processing and link activation; Internet of Things device identity authentication; real-time collection of signal quality, transmission quality and cell load data of the current serving cell and adjacent cell, and exponential weighted smoothing processing; if the current smoothed link quality is less than the signal quality threshold value and lasts for a preset time length, it is determined that the link is deteriorated; a cooperative prediction mechanism based on the Internet of Things device, the edge end and the cloud end is used to predict the network blind area and signal deterioration trend, trigger link switching and perform multi-link dynamic bandwidth allocation, hash shunting, disorder rearrangement, packet self-healing or redundant transmission. The application can identify the link deterioration risk in advance; effectively avoid the service interruption caused by switching after the device enters the blind area or the signal is deeply deteriorated, improve the stability of the communication link; solve the problems of business jam, data packet loss and reconnection time consumption in cross-operator switching.

This utility model discloses a high-definition video expansion dock device and its integrated system. The device includes a main control module, a protocol conversion module, a power management module, a video processing module, a dynamic bandwidth allocation unit, multiple video output interfaces, and a peripheral expansion unit. The main control module receives input video signals and performs splitting, compression, and protocol parsing; the protocol conversion module manages interface protocol switching, device detection, and power supply negotiation; the power management module converts the input voltage into multi-level system voltages and provides reverse charging functionality; the video processing module splits the input video signal into multiple independent video streams and reduces bandwidth; the dynamic bandwidth allocation unit dynamically adjusts the resolution or refresh rate of the video streams; and the peripheral expansion unit connects to low-speed peripherals through independent data channels. This device supports three-channel 4K@60Hz simultaneous output, features high energy efficiency, intelligent bandwidth management, and good compatibility, and is suitable for multi-screen collaboration, industrial control, and high-resolution display applications.

This invention discloses a hierarchical relay cost flow method for vehicular network resource scheduling under localized traffic bursts. Roadside units (Roadside Units) collect target communication rates, latency, and priority parameters of accessing vehicles, establish a domain-wide vehicle communication quality demand characterization matrix, and calculate the target quantity of comprehensive communication demand within the domain. A localized traffic burst state is determined using a congestion warning threshold, and a resource rescheduling request is initiated to the central cloud. A fast dynamic bandwidth allocation algorithm is constructed, which the central cloud uses to reallocate and distribute the bearer budget to its subordinate Roadside Units. The Roadside Units use a link stability-oriented transmission path generation algorithm to generate a set of feasible transmission paths for vehicles, constructing a hierarchical relay cost flow network graph of source point-vehicle-relay vehicle-resource block-sink point. Under the constraint of the bearer budget allocation by the upper-level central cloud, an enhanced dynamic cost flow algorithm is constructed to traverse the hierarchical relay cost flow network graph, obtaining the final allocation result of the wireless resource blocks for each vehicle under the Roadside Unit.

The application discloses a power tower defect intelligent identification and remote early warning system fusing millimeter wave communication and computer vision, the system synchronously acquires millimeter wave detection data and visual image data of the power tower through a multi-modal data acquisition unit, denoising, enhancement and alignment are performed on the data through a preprocessing unit, data deep fusion is realized through an improved attention mechanism algorithm of a multi-source data fusion unit, intelligent identification of defects is completed through a deep learning model, remote data transmission is realized in combination with a dynamic bandwidth allocation technology of millimeter wave communication, and finally early warning information is output through a hierarchical early warning unit and is linked to terminal management.The system overcomes the defects of single visual identification being disturbed by the environment and traditional communication transmission being delayed, realizes accurate identification, rapid transmission and hierarchical early warning of power tower defects in a complex environment, improves the automation level and operation and maintenance reliability of power inspection, and is suitable for operation and maintenance of power towers under various terrains and climate conditions.