258 results about "Bandwidth allocation" patented technology

The invention discloses a data scheduling and control method based on mainboard memory straight-through, and relates to the technical field of computer hardware, the method comprises the following steps: pre-allocating a straight-through memory area for mounting equipment in a firmware initialization stage, establishing a mapping relation between equipment identification and a physical address of an exclusive memory segment, and through address translation and access control rules of a firmware layer, the device bypasses a system cache level and accesses the exclusive memory segment in a direct memory access mode. Constructing a firmware scheduling table based on the mapping relation to manage access requests of all devices, monitoring transmission delay in real time, and dynamically adjusting priority weight and bandwidth allocation in the scheduling table according to a monitoring result; and sequencing the requests according to the updated scheduling table to complete scheduling and control of the memory access behavior of the equipment. According to the method and the device, the delay bottleneck caused by multi-level copying and firmware scheduling lag in mainboard data forwarding is effectively solved.

The invention relates to the technical field of coal mine automation control, and discloses a coal flow windscreen wiper multi-device cooperative control method and system. The method comprises the following steps: obtaining an original environment data set of each sensor node in an underground environment, processing the original environment data set to obtain a communication quality index, calculating bandwidth demand change of each node in combination with historical transmission records of the nodes, and predicting a resource allocation proportion; when the current available network resources cannot meet the requirements, sorting the key data packets to obtain a priority transmission sequence; extracting high-priority data from the sequence, temporarily storing the high-priority data to a local cache unit, and determining the state of a buffer area; dynamically adjusting bandwidth allocation by adopting an intelligent optimization model, and updating communication resource configuration; and judging whether the resource configuration meets a load balance requirement, if so, sending a data packet through a wireless channel, determining a transmission performance index, and generating a resource management scheme of a next period. The cooperative work efficiency of multiple devices of the coal flow windscreen wiper in the high-dust and high-humidity environment is improved.

The invention provides an end-network cooperative transmission system and method for a multi-mode network. The system comprises a terminal service demand layer which is used for identifying the service type of a terminal in a multi-mode network, generating structured service demand information and transmitting the service demand information to a network collaborative decision-making layer; the network cooperation decision-making layer is used for fusing the service demand information and the link state information, generating a transmission optimization strategy including path selection, priority mapping, bandwidth allocation and rate control, and transmitting the transmission optimization strategy to the transmission optimization strategy execution layer; and the transmission optimization strategy execution layer is used for executing a transmission optimization strategy, collecting link state information in the multi-mode network in real time through INT, and transmitting the link state information to the network cooperation decision layer. According to the method, efficient scheduling of heterogeneous network resources and high-reliability transmission guarantee of differentiated services are achieved, and the method is suitable for key service scenes sensitive to time delay and reliability, such as Internet of Vehicles and ultra-high-definition video transmission.

The invention discloses a channel scheduling and bandwidth allocation method, system and device for cloud desktop communication, and the method comprises the steps: obtaining a data frame set, allocating a corresponding priority identifier according to a channel type to which each data frame belongs, and embedding the priority identifier of each data frame into a special field of a frame structure; the data frames are inserted into the corresponding sending queues according to the priority identifiers, each priority corresponds to one sending queue, the data frames are extracted from all the sending queues in sequence according to a preset scheduling strategy to be sent, and the preset scheduling strategy at least supports a priority preemptive mode or a weighted fair queuing mode; and collecting network state parameters in real time, and dynamically adjusting the bandwidth quota of the channel corresponding to each data frame through a feedback closed-loop mechanism based on the network state parameters. According to the invention, the rapid transmission of high-priority data frames is ensured, and the delay of real-time interaction is reduced; resources are flexibly allocated according to the network state, and the bandwidth utilization rate is improved.

The invention discloses a bandwidth allocation method and device for a namespace, and the method comprises the steps: receiving an operation request, and determining a target namespace for which the operation request aims in an SSD (Solid State Disk); obtaining the capacity of the target namespace and the total bandwidth of the NAND Flash end of the SSD, determining active namespaces when the operation request is received, and obtaining the sum of the capacities of all the active namespaces; wherein the active namespace refers to a namespace with data operation in a preset time period; obtaining a capacity ratio between the capacity of the target namespace and the determined sum of the capacities of all the active namespaces; and allocating bandwidth for the target command space according to the total bandwidth of the NAND Flash end and the obtained capacity ratio, and executing the received operation request according to the allocated bandwidth. Therefore, the overall bandwidth utilization rate is improved.

The invention relates to the field of data transmission, and discloses a scheduling method for parallel transmission of multi-user video streams, which comprises the following steps of: decomposing each user video stream in a frame sequence layer, a code rate layer and a network buffer layer, and establishing a mapping unit for decomposed segments in a multi-dimensional state domain; based on the initial transmission situation map, asynchronous disturbance injection is carried out on the high-priority fragments; continuously monitoring the disturbance trajectory of the dynamic dependency scheduling layer in the flow, and identifying a delay abnormal region; mapping the generated semi-adaptive bandwidth allocation factor to a transmission node corresponding to each video stream in a network topology, and performing real-time regulation and control on a shunting proportion, a caching strategy and a priority weight of the transmission node through a nonlinear regulation function; in a dynamic scheduling topology convergence stage, joint integration is performed on a local bandwidth adjustment gradient and node topology weight attenuation. The method has the advantage of improving the continuity of multi-user video playing.

A transmission bandwidth allocation method includes: receiving, by a transmission device, requirement information from a reception device via a specific interface; transmitting, by the transmission device, attribute information corresponding to the requirement information to the reception device via the specific interface; and dynamically allocating, by the transmission device, a transmission bandwidth according to the attribute information for transmitting multiple data to the reception device.

The embodiment of the invention discloses a transmission task scheduling optimization method and device based on a hybrid learning strategy, and relates to the field of the Internet of Things and artificial intelligence. The method comprises the following steps: constructing a task scheduling optimization model taking minimization of the total bandwidth cost of a system in a preset time period as a target function, initializing parameters of a hybrid learning strategy particle swarm optimization algorithm, including particle swarm scale, particle position and speed, iteratively optimizing a bandwidth allocation scheme according to the hybrid learning strategy particle swarm optimization algorithm, and optimizing the bandwidth allocation scheme according to the particle swarm optimization algorithm. And updating the individual historical optimal position of each particle and the global historical optimal position of the population in each iteration process, and when iteration reaches the maximum number of iterations, outputting a bandwidth allocation scheme corresponding to the global optimal position as an optimal transmission task scheduling scheme. In this way, fast and efficient allocation of network bandwidth resources is achieved.

A novel dynamic bandwidth allocation system integrates an intelligent traffic prediction module and an on-demand token replenishment module in a quality-of-service (QoS)-based media access control (MAC) layer controller, which is able to dynamically allocate data transmission capacity (i.e., bandwidth) to multiple incoming service flows of data packets for multiple subscribers more efficiently with less network congestions and service inconsistencies than conventional MAC layer management methods. The novel dynamic bandwidth allocation system utilizes network traffic predictions to identify potentially sudden or rapid changes in near-term network traffic, and if necessary, adjusts bandwidth allocations preemptively to service flows to minimize service quality degradations while also improving network resource usage efficiencies, compared to conventional static bandwidth allocation methods. The novel dynamic bandwidth allocation system also minimizes unnecessary packet droppages, network congestions, and / or speed degradations during bursty and oscillating network traffic, and improves QoS satisfaction rates for network subscribers.

A system that steers the bandwidth allocation for ONTs based upon temporal usage of bandwidth.

Embodiments of the present invention provide a bandwidth allocation method and apparatus, user equipment, and a base station. The method includes: receiving, by user equipment, virtual bandwidth configuration information, where the virtual bandwidth configuration information is used for indicating a configuration of a virtual bandwidth; and performing, by the user equipment, signal reception and / or signal processing according to the virtual bandwidth indicated by the virtual bandwidth configuration information, where each virtual bandwidth is a part or all of a downlink maximum available bandwidth or a downlink transmission bandwidth, and the downlink maximum available bandwidth is a maximum bandwidth available for downlink transmission. In the embodiments of the present invention, reduction of overheads and reduction of complexity of signal reception and signal processing are implemented, and overheads and complexity of signal reception and processing feedback can be flexibly controlled.

The embodiment of the invention provides a method, a device and equipment for determining a data flow of a system on a carrier rocket. The method comprises the following steps: acquiring operation data and working condition data of the carrier rocket; determining a task stage of the carrier rocket according to the operation data and the working condition data; according to the task stage, determining a data stream of a system on the carrier rocket, the data stream comprising at least one of transmission path planning, bandwidth allocation and priority adjustment; acquiring communication state data of the carrier rocket; according to the communication state data, adjusting a data flow of a system on the carrier rocket to obtain a target data flow; and outputting the target data stream. According to the embodiment of the invention, bandwidth requirements of different stages can be matched in real time, bandwidth waste or insufficiency caused by fixed allocation is avoided, and the problem of poor dynamic change adaptability of the task stage is solved.

The invention discloses a configurable multi-specification video stream transmission method and device based on an FPGA chip AXI bus, and is applied to the technical field of data processing.The method comprises the steps that a single FPGA chip serves as a core, a user transmission instruction is received firstly, pre-stored AXI bus bandwidth allocation, PL / PS end interaction, video source access and coding and decoding parameters are combined, and a multi-specification video stream is obtained; and generating transmission mode starting and bus configuration information. Then, PS end encoding and decoding are started, a PL end preset path is triggered to be started, and video source information and bus real-time bandwidth data are obtained; through standardized conversion and bandwidth processing, comparison reference information of the size of an RGB image and a bus target bandwidth is generated, an error signal and channel adjustment information are generated based on a bandwidth dynamic random allocation control rule, channel control operation information is obtained in combination with a chip internal resource state, and finally the channel control operation information is converted into a transmission action. According to the method, adaptive parameters, calibration rules and the like are extracted, classified and generated, efficient transmission of multi-specification video streams is achieved, the total bandwidth is fixed, and the bandwidth of each path of coding is flexibly allocated.

This application relates to the field of device connectivity technology and discloses a method and system for managing the connection of multiple cameras based on portable WiFi. The method includes: calculating the resource constraint coefficient in the portable WiFi environment; generating a distributed management configuration table for the management tasks of multiple cameras in the portable WiFi based on the resource constraint coefficient, and performing alternating active scanning and passive listening to obtain a camera access priority table; allocating resources to the camera devices in the camera access priority table to obtain a multi-camera resource allocation strategy, and dividing and allocating three-layer transmission channels based on the multi-camera resource allocation strategy to obtain a multi-channel data transmission control table; establishing a multi-level resource feedback mechanism in the portable WiFi environment based on the multi-channel data transmission control table, and dynamically calculating the bandwidth allocation ratio between camera devices to obtain a collaborative transmission optimization scheme, thereby improving the utilization efficiency of limited bandwidth resources and realizing the efficient collaborative work of multiple camera devices.

The embodiment of the invention relates to the technical field of container group management, in particular to a dynamic bandwidth scheduling method and device of a K8S multi-cluster network and electronic equipment. The method comprises the following steps: determining an initial bandwidth allocation scheme, converting the initial bandwidth allocation scheme into a bandwidth allocation instruction, and issuing the bandwidth allocation instruction to each K8S cluster; service priority information of Pods in each K8S cluster and network bandwidth data of each K8S cluster are collected in real time; carrying out load state identification based on the service priority information and the network bandwidth data; if the identified load state reaches a high load condition, generating a dynamic bandwidth adjustment scheme based on the service priority information; and converting the dynamic bandwidth adjustment scheme into a bandwidth adjustment instruction, and issuing the bandwidth adjustment instruction to a corresponding K8S cluster to execute bandwidth adjustment operation. According to the method, the dynamic bandwidth collaborative scheduling based on the service priority and the multi-cluster network load can be realized.

The application discloses a traffic bandwidth scheduling method and device of a fusion CDN, and belongs to the technical field of Internet. The method comprises the following steps: in response to receiving a current access request for an acceleration domain name, acquiring a domain name and a request source area corresponding to the current access request; acquiring an uplink traffic IP resource of each CDN vendor and a bandwidth allocation ratio of planned business traffic according to the domain name and the request source area; acquiring an approaching period value according to the number of CDN vendors; acquiring a current request frequency corresponding to the current access request; and determining the uplink traffic IP resource of the CDN vendor for scheduling and responding to the current access request according to the current request frequency, the approaching period value and the bandwidth allocation ratio. According to the method, the business traffic bandwidth ratios of each fusion CDN vendor planned by the system are used for accurate scheduling, so that the business traffic bandwidth of each fusion CDN vendor is accurately allocated, and the CDN bandwidth cost of the system is saved.

The invention discloses a source network load storage data aggregation processing method, system and device and a medium, mainly relates to the technical field of aggregation processing, and is used for solving the problems of data transmission conflict and lack of a dynamic adjustment mechanism for bandwidth allocation caused by bandwidth sharing in the existing scheme. Comprising the following steps: adjusting a real-time bandwidth according to the priority of a dedicated channel and the hop count of an edge computing node corresponding to the dedicated channel in a data aggregation layer; the communication layer transmits the equipment data to the data aggregation layer through an internet communication protocol; the data aggregation layer pushes the device data to a real-time edge computing node in a streaming manner according to a preset processing logic, stores the device data to an offline analysis platform, and uploads a processing result returned by the edge computing node to the application layer; and the application layer issues the operation instruction to the data aggregation layer, the data aggregation layer stores the operation instruction and issues the operation instruction to the communication layer, and the dedicated channel bandwidth is adjusted again according to the operation instruction pre-stored in the communication layer and a dedicated channel bandwidth allocation strategy.

The application provides an online data flow monitoring optimization method, device, equipment and medium, wherein the method comprises the following steps: through acquiring an application program, the application program is divided into multiple groups, then a first bandwidth is pre-allocated, then hot comments are acquired, a second bandwidth is set based on the hot comments, and finally the bandwidth of each group is set based on the first bandwidth and the second bandwidth.The application has the beneficial effects that the intelligent allocation and dynamic adjustment of the bandwidth are realized, the utilization efficiency of network resources is improved, and the network experience of users is improved.At the same time, through subsequent monitoring and optimization measures, the rationality and effectiveness of the bandwidth allocation are ensured.

The invention relates to a broadband data processing method and device based on a brain-like architecture, computer equipment, a computer readable storage medium and a computer program product. The method is applied to a neuromorphic calculation unit, and the neuromorphic calculation unit comprises a plurality of synaptic calculation units. Comprising the following steps: acquiring to-be-processed data, and distributing the to-be-processed data to each synaptic calculation unit; obtaining operation index data of each synaptic calculation unit, and calculating a corresponding bandwidth allocation weight according to the operation index data; the operation index data is used for representing the resource use efficiency of the synaptic computing unit; according to each bandwidth allocation weight, extracting a target processing path from the hierarchical network topology structure of the neuromorphic computing unit; the hierarchical network topology structure comprises a plurality of computing nodes, and each computing node corresponds to one or more synaptic computing units; and transmitting and processing the to-be-processed data according to the bandwidth allocation weight and the target processing path. By adopting the method, the data processing flexibility can be improved.

Techniques are described herein for allocating bandwidth parts to user devices to enable a range of the user devices to be boosted when they are further away from a base station. In embodiments, such techniques may comprise receiving information about at least one user device operating on a network and determining, based on that information, a signal strength of the at least one user device within a cell. The techniques further comprise determining an allocation of bandwidth parts to be applied to a cell, and determining, based on the signal strength of the user device and the allocation of bandwidth parts, an assigned bandwidth part for the at least one user device. Once such a bandwidth assignment has been determined, the techniques further involve providing the assigned bandwidth part to be used by the at least one user device.

The invention relates to the technical field of computer cluster communication, in particular to a set communication method suitable for a core particle equipment cluster with unified bus interconnection, which comprises the following steps of: acquiring hierarchical topology and link information of the core particle equipment cluster, and constructing a global topology information base according to the acquired hierarchical topology and link information; optimizing the core size level primitive, the node level primitive and the super node level primitive; a link monitoring unit is deployed to monitor a link state index in real time, an alarm is triggered when a link fault is detected, an optimal backup link is screened based on a global topology information base, a communication path is updated, and a dynamic resource scheduling algorithm is adopted to allocate computing power and communication resources; and dynamically adjusting a communication path and bandwidth allocation according to a set communication task requirement and a link dynamic parameter. The method is suitable for a three-level link architecture of a core particle equipment cluster, can improve the communication efficiency and the bandwidth utilization rate, enhances the cluster reliability and the resource utilization rate, and effectively meets the requirements of high computing power and high communication intensity of large model training.

This invention relates to a method and system for broadcasting PPP-RTK corrections. The method includes acquiring grid point information; determining correction information according to a dynamic partitioning method based on the satellite's orbital direction, satellite signal coverage area, and the grid point information; the correction information includes a header file, the grid point information, tropospheric corrections, and oblique ionospheric corrections; and uploading the correction information to an uplink station to control satellite broadcasting of the correction information. This invention solves the problems of satellite bandwidth allocation, correction area division, and correction data format encoding for PPP-RTK atmospheric delay corrections broadcast in low-Earth orbit satellite broadcasting areas.

A method performed by a processing system including at least one processor includes allocating a full bandwidth of a radio channel of a radio access network to a user endpoint device, detecting the user endpoint device activating a service that is associated with a bandwidth part of the radio channel, wherein the bandwidth part comprises less than an entirety of the full bandwidth, and adjusting, in response to the detecting, an amount of a bandwidth of the radio channel that is allocated to the user endpoint device from the full bandwidth to the bandwidth part.

The present application relates to the technical field of computers. Disclosed are a bandwidth allocation method, apparatus, device and system, and a medium and a program product. The method comprises: controlling a general-purpose input / output interface of a first interface expansion device to output a high level for a preset duration, wherein a first presence signal pin of each slot is connected to the general-purpose input / output interface of the first interface expansion device; during the general-purpose input / output interface of the first interface expansion device outputting the high level for the preset duration, reading the level of a general-purpose input / output interface of a second interface expansion device corresponding to a root port, wherein a second presence signal pin of each slot is connected to the general-purpose input / output interface of the second interface expansion device, and the general-purpose input / output interface of the second interface expansion device connected to the second presence signal pin of the slot is related to the bandwidth of the slot; and determining, on the basis of the read level, the bandwidth of a slot connected to the root port, and performing bandwidth allocation accordingly. The method can improve the bandwidth allocation efficiency and accuracy.

The invention discloses an optional cluster networking communication method and an optional cluster networking communication system for multi-path image transmission, data transmission and remote control links based on Wi-Fi Halow. The method supports parallel transmission of at least one path of image flow, is integrated with a data transmission link and a remote control link, realizes dynamic cluster networking through a Wi-Fi Halow protocol, and supports an optional topology of one machine with multiple controllers or one remote controller with multiple machines. The system comprises sky end equipment and ground end equipment, and a multi-path transmission layer and a cluster management layer are added by expanding a Wi-Fi Halow protocol stack so as to optimize bandwidth allocation and topology switching. The method is suitable for communication between the sky end and the ground end in the fields of model airplanes, aircrafts, unmanned aerial vehicles, robots and the like, and has the advantages of being high in bandwidth efficiency, flexible in networking and high in real-time performance.

The invention discloses a dynamic self-adaptive MSMC shared storage management method and device, and the method comprises the steps: pre-configuring a static partition of an MSMC shared storage region, and dividing a physical storage region into a plurality of partitions with fixed sizes through a partition reconfiguration module; initializing parameters of the dynamic monitoring module, and starting the dynamic monitoring module to periodically acquire real-time data of each partition; and circularly executing the sub-steps of data acquisition and anomaly detection, scheduling strategy calculation, partition reconfiguration and arbitration weight updating. Through hardware-level dynamic monitoring, priority perception scheduling and a microsecond-level reconfiguration mechanism, the utilization rate of storage resources is remarkably improved, high-priority tasks are guaranteed in real time, multi-core bandwidth allocation is optimized, and the dynamic adaptability of the system is enhanced; the contradiction between resource allocation fixity and task load dynamics in a traditional static partitioning scheme is fundamentally solved, and a breakthrough solution is provided for efficient parallel processing of a multi-core DSP system in a high-real-time scene.

The invention provides a multi-user immersive video stream-oriented bandwidth allocation optimization method. The method comprises the following steps of: 1, dividing users into bandwidth contributors and bandwidth receivers according to bandwidth contribution priority scores; step 2, generating a coarse-grained group bandwidth transfer amount; 3, respectively generating an individual bandwidth contribution share for each user in the bandwidth contributor group, and generating an individual bandwidth receiving share for each user in the bandwidth receiver group; step 4, executing bandwidth allocation and entering the next period of iteration: allocating the individual bandwidth receiving share calculated in the step 3 to a corresponding user for transmission of a next video block; and obtaining the updated user state information and network condition information, and returning to the step 1. According to the invention, through effective cooperation of user interaction behavior perception and a negative event sensitivity mechanism, optimization of the overall service quality of multi-user immersive video transmission and significant improvement of the user retention rate are realized.

The invention provides a multi-core bandwidth management system and a control method thereof. The multi-core bandwidth management system comprises a full-link monitoring module; an intelligent prediction model; a hierarchical management and control module; the execution feedback module is respectively connected with the full-link monitoring module and the layered management and control module, and the execution feedback module issues a bandwidth allocation result to a hardware controller, feeds back an execution effect in real time, collects performance indexes of each core after bandwidth allocation in real time, and sends the performance indexes to the hardware controller; whether a comparison deviation exists or not is determined through comparison with a preset scene allowable threshold value, and then a bandwidth adjustment allocation management and control strategy corresponds to the deviation degree of the comparison deviation; through the arrangement of the full-link monitoring module, full-link cooperative monitoring can be realized, multi-dimensional bandwidth data such as cache, interconnection and memory are integrated, a complete bandwidth feature vector is formed on the basis, and the problem of one-sidedness of traditional monitoring of single dimension is solved.

The invention belongs to the technical field of training cost optimization, and discloses an unmanned aerial vehicle cluster-oriented federated learning training cost optimization method, which comprises the following steps of: jointly optimizing a local convergence threshold value, a local iteration frequency, computing resource allocation, bandwidth allocation and transmitting power allocation; the training cost (defined as a weighted sum of training energy consumption and training time) is minimized. The framework comprises a dichotomy-based joint optimization algorithm, each sub-optimization problem is solved alternately, and balance between energy and time is ensured. The core elements of the framework are as follows: in a system modeling stage, the training cost is defined as the weighted sum in the whole federal learning process, and a problem is expressed as a non-convex mixed integer programming problem.

Provided are an apparatus and a method for scheduling network resources. In response to a resource request for a resource consumer, the resource scheduler obtains resource prediction including the predicted network bandwidth and the predicted network usage pattern, and schedules bandwidths for the resource consumer based on resource requirement information, the resource prediction and resource availability. The network bandwidths for the resource consumer are allocated based on the predicted network bandwidth and the predicted network usage pattern, network bandwidths can be allocated based on demand and supply, and can thus be fully utilized, that is, network bandwidth utilizations at the endpoint and the levels of networks can be improved.