147 results about "Bandwidth throttling" patented technology

The invention discloses a power grid data management system and method based on artificial intelligence data analysis in the technical field of power grid anomaly detection. The method comprises the steps of obtaining operation data of nodes in a power grid system; calculating an exception comprehensive score of the node based on the operation data by combining an exception detection model deployed by edge computing equipment; determining an abnormal response level of the node based on the abnormal comprehensive score; and triggering a corresponding response strategy based on the exception response level of the node, and performing exception processing on the node. According to the method, the lightweight anomaly detection model is deployed on the edge computing equipment, the power grid operation data is monitored in real time, the abnormal condition is quickly identified, the reliability and safety of power grid operation are improved, and the problems of response delay, network bandwidth limitation, single-point fault and the like of a traditional centralized anomaly detection system are solved.

The invention belongs to the field of big data, and relates to a data migration method, which comprises the following steps: obtaining storage cluster pressure test data, and constructing a performance model, the pressure test data being obtained by testing under different loads. And acquiring real-time monitoring data, and evaluating the current pressure state in combination with the performance model. And if the threshold value is exceeded, extracting a historical data change rule, and generating a load prediction model. And calculating a target migration concurrency number based on the real-time performance index and the prediction model. And adjusting the current data migration concurrence number and the bandwidth limiting parameter to target values. And finally, carrying out data migration of the storage cluster according to a preset protocol and the target parameter. The invention further provides a device, equipment and a medium. In addition, the invention also relates to a block chain technology, and the pressure measurement data and the real-time monitoring data can be stored in a block chain. The data migration efficiency can be improved.

The invention relates to the technical field of water conservancy monitoring, in particular to a remote monitoring and early warning system for a water conservancy monitoring terminal, which comprises a data acquisition module, an edge calculation module, an information transmission module, a central analysis module and an execution module. According to the method, the accuracy and continuity of water conservancy monitoring data are ensured through the technologies of timestamp detection, interpolation calculation, data cleaning, median filtering and the like; according to the method, abnormal changes in key water conservancy data such as water level, flow and pressure can be identified through real-time data analysis, and abnormal fluctuations of a trend part or a periodic part can be found in time in combination with seasonal decomposition and abnormal value analysis; according to the invention, the problems of bandwidth limitation and uneven network load in the traditional remote monitoring system are solved by dynamically adjusting the communication bandwidth, frequency and priority management. Particularly, under the conditions of multiple nodes and large data volume, data transmission delay and loss can be effectively avoided, and the real-time performance and stability are ensured.

The invention relates to the technical field of flow forwarding, in particular to a controllable flow forwarding method. The method comprises the following steps: S1, demand analysis, S2, traffic model construction, S3, equipment initial configuration, S4, traffic monitoring and evaluation, S5, traffic classification and priority setting, S6, bandwidth limitation and rate control, S7, load balancing, S8, resource reservation, S9, security encryption and verification of a data packet, S10, traffic caching and data loss prevention, and S11, dynamic adjustment of a forwarding strategy. According to the method, accurate control and management of network traffic are realized through traffic model construction, traffic monitoring and evaluation, traffic classification and priority setting, bandwidth limitation and rate control, load balancing and resource reservation, the security of data in a forwarding process is improved through security encryption and verification of a data packet, log recording and performance monitoring, and the data forwarding efficiency is improved. And data loss is avoided through flow caching, data loss prevention and dynamic adjustment of a forwarding strategy.

The invention discloses an inter-satellite link load balancing method, system and device and a storage medium, relates to the field of satellite communication, and is used for solving the problem of network congestion of a core network user plane. In the application, an SMF network element receives inter-satellite link state information from each UPF network element; calculating a routing path from the source satellite node to the target satellite node according to the inter-satellite link state information under the limitation of inter-satellite link time delay and bandwidth; and distributing the routing path decision to the UPF network element of the corresponding satellite node. According to the invention, the load balancing of inter-satellite links can be realized, the user plane network congestion of the satellite-borne core network is avoided, and the service quality of the satellite-borne core network is improved.

The invention relates to the technical field of flow management, in particular to a communication network flow management system which comprises a flow monitoring module, an abnormal flow processing module, a flow priority adjusting module and a network load balancing module. According to the method, the abnormal data flow can be identified by analyzing the distribution characteristics of the communication data flow in real time, the abnormal level can be quantitatively evaluated according to the abnormal influence, the flow limiting is more targeted by positioning the source node of the abnormal flow and implementing the bandwidth limitation according to the abnormal level, the flow limiting degree can be adjusted as required, unnecessary broadband waste is avoided, and the flow limiting efficiency is improved. By considering the importance and real-time performance indexes of services, when the priority of communication data is adjusted, the performance of key applications is guaranteed preferentially, and by monitoring the delay and packet loss conditions of nodes in real time and intelligently adjusting node bandwidth allocation according to the flow priority, the overall operation efficiency and stability of a network are improved, and the network performance is improved. And the network performance management is optimized.

One embodiment provides a graphics processor comprising a memory interface, a graphics core cluster including a plurality of graphics cores, and an interconnect fabric to interconnect a plurality of hardware clients including the plurality of graphics cores. The interconnect fabric include a plurality of fabric ports coupled with the plurality of graphics cores. A fabric port is configured to limit bandwidth available to an associated graphics core via a bandwidth throttler circuit coupled with the fabric port.

The invention discloses a time-delay island micro-grid load frequency control system and method based on an adaptive event trigger mechanism, and relates to the technical field of micro-grid load frequency control. The invention provides a novel event triggering mechanism based on a self-adaptive threshold value, so as to solve the problem that the control performance is not ideal due to the fact that a micro-grid load frequency control system is limited by bandwidth. The method mainly comprises the following steps: step 1, establishing a state space model according to parameters of each distributed power supply and an energy storage system of the island microgrid; 2, introducing a self-adaptive event triggering mechanism considering communication delay into micro-grid load frequency control; step 3, based on a Lyapunov functional method, deducing a stability criterion of the time-delay island micro-grid; and step 4, solving a trigger matrix omega and a minimum performance index gamma min. According to the invention, a self-adaptive event triggering mechanism is introduced into the island micro-grid load frequency control system, so that the loss of communication resources of a communication system and the influence of communication delay are reduced.

The invention provides a data scheduling method and device, electronic equipment and a medium. The method comprises the steps of obtaining a first input tensor and a target working group grid corresponding to the first input tensor; based on the working group coordinates corresponding to the working groups, dividing the target working group grid into working group sets respectively corresponding to the block processing clusters, and scheduling the working groups in the working group sets to the corresponding block processing clusters; in the block processing cluster, respectively mapping the working groups in the corresponding working group set to the computing units in the block processing cluster; the first input tensor is divided into tensor blocks corresponding to each work group, and each tensor block is stored in a local memory of a computing unit for executing the corresponding work group. Based on the data scheduling method disclosed by the invention, the efficiency of accessing the storage unit by the computing unit for data access can be improved, the access power consumption is reduced, and meanwhile, the situation that the computing unit cannot read the required data in time due to the bandwidth limitation of the routing module is avoided.

This application provides a bandwidth control method and an apparatus. One example method includes: A service enabler architecture layer data delivery SEALDD server obtains bandwidth limit information from a first server, where the bandwidth limit information includes at least one of bandwidth limit information of the first server or bandwidth limit information of a first user. The SEALDD server determines, based on the bandwidth limit information, bandwidth allocated to a first SEALDD client, where the first SEALDD client is a client corresponding to the first user. The SEALDD server sends, to the first SEALDD client, information about the bandwidth allocated to the first SEALDD client.

The invention discloses a federated learning image classification method based on time extension gradient cumulative average. Each client uses a local data set to train a local model to obtain gradient information of a current communication round, and uploads the gradient information to the central server after compression; the client continues to perform local training in a time period from the time when the client starts to upload the compression gradient information of the current communication round to the time when the server completes the compression gradient information aggregation of the current communication round; the central server side aggregates the compression gradient information to obtain average compression gradient information of the current communication round, and issues the average compression gradient information to the client side to update a local model of the (t + beta) th communication round; and repeating the steps until the training is completed, and inputting the to-be-detected image into the local model to obtain an image classification result. The method shows excellent performance under various data sets and different compression levels, has higher convergence speed and model precision, and solves the problem of low communication efficiency caused by network delay and bandwidth limitation in image classification of federated learning.

A smart network interface card (smartNIC) may receive first traffic for a first process configured with a first bandwidth limit. The smartNIC may receive second traffic for a second process configured with a second bandwidth limit, the second bandwidth limit corresponding to a larger value between a second transmit limit and a second receive limit associated with the second process. The smartNIC may queue the received traffic associated with the first process and the second process in a scheduler, the scheduler having a first set of queues configured to store traffic from the first process, and a second set of queues configured to store traffic from the second process. The smartNIC may forward queued traffic from the first set of queues or the second set of queues, a maximum amount of forwarded first process traffic corresponding to the first bandwidth limit minus an amount of forwarded second process traffic.

The invention relates to an optical modem connection scheduling method based on scene awareness and dynamic resource slicing. The method comprises the following steps: collecting application layer data in real time, analyzing application layer protocol characteristics, identifying an application scene, and predicting a bandwidth demand and a change trend based on the application scene; creating a private network slice for the emergency task; detecting a network flow mode in real time, acquiring an application type of the network flow mode, identifying a high-bandwidth downloading behavior, detecting a network index of a delay sensitive application in real time to determine a service level protocol, and determining a real-time application priority and a current demand according to the application type and the service level protocol; the required minimum bandwidth is calculated, dynamic speed limiting, bandwidth redistribution and network utilization rate monitoring are carried out on high-bandwidth downloading application, and downloading bandwidth limitation is temporarily improved when the total utilization rate is lower than a threshold value and continues for specified time; calculating a risk score; a heartbeat packet acceleration channel is set, an independent UDP packet forwarding path is developed for key IoT equipment, the connection state of the IoT equipment is detected in real time, and an emergency communication plan is triggered when the IoT equipment is abnormal.

Systems and methods for encrypting and streaming AV sensor data and AV derived data. In particular, systems and methods are provided for receiving AV sensor data at a streaming platform and providing the received data to multiple endpoints. In some examples, the multiple endpoints are multiple viewers viewing the AV sensor data. In various examples, an AV transmits the AV sensor data to the streaming platform, and the AV sensor data can be transmitted from the streaming platform to multiple endpoints without any effect on AV central processing unit or bandwidth constraints. The AV sensor data can include multiple data streams that are layered and compressed for efficient streaming, and the streaming platform can receive real-time streamed data from the AV even as bandwidth and connection constraints vary. In various examples, the bit rate of the video ingestion from the AV can be changed based on bandwidth availability.

Instead of using a bandwidth limiter for bandwidth allocation in an SSD, a dummy virtual function (VF) is used to transfer internal operations. A centralized logic such as the bandwidth limiter is incorporated in the device controller. This logic is responsible for controlling the bandwidth between the hosts. The logic is not just responsible for data transfers triggered by the hosts, but also for data transfers triggered by the device in internal operations such as garbage collection. In order to control the traffic trigged by internal operations, a dummy VF is created along with dummy submission queues. The internal operations are queued in the dummy submission queues, while the bandwidth limiter is responsible for the performance rate. Using this approach, bandwidth allocation is balanced between the hosts and SSD.

The invention relates to an edge computing driven intelligent terminal converged communication method and device, and aims to solve the problem of converged communication among multiple types of equipment in a traditional communication method. The method comprises the following steps: firstly, collecting multi-dimensional data of an intelligent terminal, including hardware information, a network access mode and network environment information, and carrying out normalization processing on the data to generate detailed terminal feature data; accurate feature description is provided for each device, and the system is helped to know the processing capacity and the network state of the device. And then, classifying the terminal feature data by adopting a classification algorithm, and determining the category and feature sub-data of each device, thereby reasonably allocating calculation tasks and network resources. And finally, based on a classification result, the system allocates appropriate resources to each terminal device, and efficient task scheduling and resource optimization are realized. According to the method, the communication efficiency and the cooperation capability among multiple types of equipment are effectively improved, and meanwhile, the bandwidth limitation and delay problems in traditional communication are relieved.

The invention provides a soft-RoCE-based virtual network topology simulation method, which belongs to the technical field of network topology simulation, and comprises the following steps: S1, creating isolated virtual nodes; s2, a virtual network link attribute configuration step: link parameters are dynamically configured on a veth device by using a tcnetem tool, the parameters comprise time delay, packet loss rate and bandwidth limitation, parameter configuration supports real-time dynamic adjustment so as to meet simulation requirements of different topology scenes, and aiming at the problems that a traditional method is low in topology flexibility and has defects in multi-tenant isolation, the virtual network link attribute configuration method is provided for solving the problems that the traditional method is low in topology flexibility and has defects in multi-tenant isolation. According to the method, the GID, the IP and the protocol stack are isolated by flexibly configuring the link attributes and based on the network namespace, and the effect which cannot be achieved by a traditional method is achieved.

The invention discloses a model prediction direct position control method based on point-to-point trajectory planning, and belongs to the technical field of motor control. The method comprises the following steps: measuring a three-phase current signal, a rotating speed signal and a position signal of the PMSM; converting the three-phase current signal into a current component under a two-phase static coordinate system through Clark conversion; performing Park transformation to obtain a d-q coordinate system current signal; and performing voltage prediction to generate a d-q axis voltage control signal. Planning a target curve trajectory; and performing online prediction and rolling optimization. According to the invention, bandwidth limitation of a traditional cascade structure is broken through, position loop time delay is reduced, speed oscillation and position overshoot near a target positioning point are suppressed, stability of a control system is improved, multi-target collaborative optimization of position, rotating speed and current is realized, and economical efficiency and engineering practicability are both realized.

A method for adaptively providing processed data to elements of a distributed network, includes a processor partitioning data from a plurality of data sources, including big data from a plurality of big data sources based on defined needs of the elements; the processor storing the partitioned data in a central data source and a subset of the partitioned data in one or more cache memories in proximity to the elements; receiving a data request from a network element; determining a time-sensitivity of data responsive to the data request; supplying a response to the data request for non-time-sensitive data; and supplying the response to the data request for time-sensitive data.

The invention particularly relates to a digital twin interactive media content streaming method in a weak network environment. According to the digital twin interactive media content streaming method in the weak network environment, a client sends a dynamic address request and receives fed back dynamic address information; the media server receives the SDP proposal and the ICE candidate sent by the client, and forwards the SDP proposal and the ICE candidate to the digital twin program; the client and the digital twin program establish a media content transmission channel with the media server according to the dynamic address information and the fixed address information; and the digital twinning program transmits the media content data to a client for display through a media content transmission channel stream by adopting a quality of service (QoS) processing mode. According to the digital twin interactive media content streaming method in the weak network environment, the problems of low quality and high time delay caused by bandwidth limitation and a severe network environment are solved, the quality of the media content received by the client is improved, the time delay in the transmission process of the media content data is reduced, and the transmission efficiency is improved.

The invention provides a data transmission method, device and equipment and a readable storage medium, and the method comprises the steps: monitoring the data flow of each calculation unit communicating with the outside, and configuring a data channel between a busy calculation unit and an idle calculation unit to be opened; issuing a first shunting instruction to the busy computing unit, and shunting the data message of the busy computing unit to the idle computing unit; and issuing a second shunting instruction to the idle computing unit, and forwarding the second shunting instruction outwards through a data channel of communication between the idle computing unit and the outside. According to the technical scheme of the invention, the BMC intelligently monitors the flow, and dynamically opens the data channel between the calculation units, so that the overload calculation unit can distribute the data to the idle unit for forwarding, thereby effectively breaking through the bandwidth limitation of the physical port of the single calculation unit, solving the problem of local flow congestion, and improving the reliability of the system. And the network throughput and the resource utilization efficiency of the whole machine system are obviously improved.

The invention provides a PCDN terminal identification and control method and device, equipment and a medium, and the method comprises the steps: obtaining a multi-dimensional behavior feature based on the communication behavior data of a target terminal, and constructing a multi-dimensional behavior feature vector based on the multi-dimensional behavior feature; inputting the multi-dimensional behavior feature vector into a pre-trained classification model to obtain an identification result of whether the target terminal is a suspicious terminal; in response to the identification result that the target terminal is a suspicious terminal, analyzing each communication flow of the target terminal in the global flow table one by one, and judging whether each communication flow is a P2P uplink flow with a content distribution intention; a bandwidth limiting measure is applied in the upstream direction of a communication flow with respect to a P2P upstream stream having a content distribution intention. According to the embodiment of the invention, the method can achieve the high-accuracy recognition of the PCDN terminal and the corresponding P2P uplink flow, and achieves the flow control with the minimum intrusiveness.

Methods and systems are provided for scaling video streams, and in particular video streams of medical data such as those from an endoscope. Video streams can be scaled to match the resolution requirements of a video display device. By performing the video scaling on a single computing chip, video scaling can be achieved while avoiding or mitigating the 8.5 Gbps bandwidth limitations of 10G networks. The use of the single computing chip can also reduce costs associated with using multiple computing chips. The result is a multi-view, cost-effective solution for displaying high-quality video streams while avoiding 10G Ethernet network bottlenecks.

The invention relates to a traffic flow prediction method and system based on space-time delay and heterogeneity modeling, and belongs to the technical field of intelligent traffic. The method aims to solve the problem of insufficient prediction precision caused by difficulty in capturing time-space propagation delay and spatial heterogeneity of traffic flow in the existing prediction technology. According to the technical scheme, the method comprises the following steps: explicitly quantifying and fusing space-time delay information by using a dynamic time warping algorithm with bandwidth limitation through a space-time dynamic delay capture module; fusing multi-granularity time periodicity and spatial characteristics through a space-time embedding module; generating dynamic weight and bias parameters of self-adaptive spatial-temporal heterogeneity through a dynamic parameter optimization module; and finally, the optimized parameters are fused into a Transform framework to carry out space-time modeling and prediction. According to the method, the complex dynamic characteristics of the traffic flow can be described more accurately, the accuracy and generalization ability of the prediction model are remarkably improved, and more reliable decision support is provided for intelligent traffic management.

The invention discloses a computing cluster task management method and a computing cluster task management device, relates to the field of computers, and realizes task scheduling which is wide in application scene, small in transmission data volume, not limited by network bandwidth and capable of reducing tail delay. The method can be applied to a computing cluster comprising a plurality of computing nodes and a shared memory, and the computing nodes are used for executing a plurality of tasks during application running and can access the shared memory. The method can comprise the steps that a first computing node in a plurality of computing nodes in a computing cluster queries global task information in a shared memory after executing a task of an application, determines a second computing node to be subjected to the task, and sends an execution request to the second computing node; and determining a to-be-executed first task by the second computing node, sending metadata of data corresponding to the first task to the first computing node, and executing the first task by the first computing node.

This invention relates to the field of network traffic rate limiting technology, and in particular to a bandwidth rate limiting method, apparatus, device, medium, and product. The method includes: after receiving an access request carrying a first floating Internet Protocol (IP) address, determining whether the first floating IP address matches any physical flow table; the output action in the physical flow table corresponds to a kernel rate limiter, and the kernel rate limiter corresponds to multiple floating IP addresses sharing the rate limit; if a match is found, determining whether the traffic of the first floating IP address exceeds the rate-limited traffic corresponding to a target kernel rate limiter, where the target kernel rate limiter is the kernel rate limiter corresponding to the output action of the matched physical flow table; if not, access is performed based on the first floating IP address. In this invention, the kernel rate limiter corresponds to multiple floating IP addresses sharing the rate limit, ensuring that multiple floating IPs share the bandwidth rate limit, improving network resource utilization and reducing costs.

The invention discloses a bandwidth limiting method and device, electronic equipment and a readable storage medium, and relates to the technical field of computers. After a product material list of a target product is obtained, a product virtual code of an object in a product material and a coding rule of the product virtual code are utilized; and analyzing to obtain characteristic codes and quantity characteristic codes corresponding to the components in the target product. Then, the characteristic codes and the number characteristic codes are used as headers, the lower portions of the headers are corresponding specification levels, and the interface bandwidth limiting tool table of the target product can be automatically generated. And importing the interface bandwidth limiting tool table into the limiting relation table library, so that bandwidth limiting based on the interface bandwidth limiting tool table can be realized. Namely, by automatically generating the product interface bandwidth limitation tool table, the PCIE resource limitation in the product BOM is automatically verified, limitation statements are not needed for limitation, the BOM creation efficiency is greatly improved, and the BOM creation accuracy is also ensured.

Instead of using a bandwidth limiter for bandwidth allocation in an SSD, a dummy virtual function (VF) is used to transfer internal operations. A centralized logic such as the bandwidth limiter is incorporated in the device controller. This logic is responsible for controlling the bandwidth between the hosts. The logic is not just responsible for data transfers triggered by the hosts, but also for data transfers triggered by the device in internal operations such as garbage collection. In order to control the traffic trigged by internal operations, a dummy VF is created along with dummy submission queues. The internal operations are queued in the dummy submission queues, while the bandwidth limiter is responsible for the performance rate. Using this approach, bandwidth allocation is balanced between the hosts and SSD.

The invention provides a dynamic resource isolation method and device, electronic equipment and a storage medium, and relates to the technical field of communication. A resource allocation strategy containing a private network slice minimum bandwidth reservation proportion and a public network user maximum bandwidth limit proportion can be generated based on the service type identification result and the service flow prediction data; and base station scheduling parameters and core network flow routing can be adjusted according to the strategy so as to realize public and private network user resource isolation through a dynamic bandwidth allocation mechanism and network slice mapping, and meanwhile, network state changes are evaluated regularly and a resource allocation strategy is adjusted based on an evaluation result. The problem that in the prior art, resource allocation cannot adapt to dynamic service requirements can be solved.

The application relates to the technical field of cloud computing, and provides a containerized PXE service deployment system, method, device and storage medium. The system comprises: a control end configured to provide an operation page for a user to define configuration parameters; a PXE service end comprising a plurality of service containers; a PXE service configuration module configured to configure the service containers of the PXE service end according to the configuration parameters; and a PXE service scheduling module configured to deploy the PXE service end on a corresponding container host and monitor performance indexes of the PXE service end to scale the PXE service end. The system provided by the application can realize containerized distributed deployment of the PXE service end, solve the IO bottleneck and bandwidth limitation problems of the PXE service end under a large number of high concurrency conditions, and simultaneously, based on the containerized deployment of the PXE service end, realize dynamic scheduling and deployment of the PXE service end, reduce the difficulty in distributed deployment management of the PXE service end, and reduce resource waste.