16 results about "Real time routing" patented technology

The invention discloses a congestion-aware network-on-chip fault-tolerant routing method and a congestion-aware network-on-chip fault-tolerant routing system, and relates to the technical field of computer network communication. Comprising the steps of 1, creating an on-chip network fault-tolerant routing system, 2, deploying a network monitoring module at each router node, and generating routing configuration based on real-time data, and 3, when a network is congested and / or failed, measuring the congestion degree through the network monitoring module according to the size of an idle cache at an input end, and determining the weight W of a path according to the congestion degree; step 4, collecting link and routing node fault information and an input cache state through the network monitoring module, reporting the information to an upper computer management module, updating global network state information by the upper computer management module according to received data collected by the network monitoring module, generating routing configuration in combination with a routing rule, and sending the routing configuration to the network monitoring module; and real-time routing configuration is issued to each routing node through the configuration module.

The present invention provides a fault handling method and system for voice call testing, belonging to the technical field of communication network operation and maintenance, including: receiving a fault request from a signaling system; identifying the fault type of the fault request within a preset cache period, and merging and compressing the fault requests of the same fault type; determining the first fault request in the merged set, and performing a route tracing operation on the destination IP on the primary and standby data communication device switches corresponding to the source IP of the first fault request to obtain the current network status information; judging whether there are routing anomalies and latency anomalies according to the current network status information and historical network status information; determining the fault type according to the comparison result, and generating real-time alarm information; within a preset time period, sending the real-time alarm information to the management personnel terminal. The present invention realizes the rapid and accurate processing of a large number of fault requests in a short time through real-time route tracing, historical alarm comparison, and latency anomaly detection.

This invention belongs to the field of distributed large language model inference scheduling technology, and relates to a multi-model dynamic scheduling method for high-concurrency dialogue requests. The method includes: collecting the network card hard interrupt timestamp sequence at the streaming response bus to establish a streaming output time interval vector; extracting the differential fluctuation envelope of the streaming output time interval vector and comparing it with a reference transmission delay line to separate the channel congestion index; calculating the real-time routing suppression coefficient based on the queue backlog length and the channel congestion index and reconstructing the cost-aware routing matrix; compressing the sampling window when concurrent data traffic is overloaded, and sending a redirection signal to shift the concurrent data stream when the real-time routing suppression coefficient exceeds the limit. This invention eliminates the need for active probing, decouples the calculation of congestion and network jitter in situ, effectively eliminates long-tail response latency, and improves throughput.

The application discloses a network environment abnormality early warning method and device, belongs to the communication technical field, and is used for solving the problem that communication line abnormality discovery delay affects user network use. The method comprises the following steps: deploying a routing real-time monitoring module on a data communication device, and collecting routing changes of the data communication device in real time; when the real-time routing change of the data communication device is monitored, acquiring a real-time routing table of the data communication device; comparing and analyzing the real-time routing table with a reference routing table collected in advance, acquiring changed routing information and an associated scene; according to the real-time routing table, acquiring a predicted path corresponding to the data communication device under the associated scene by using a routing tree technology; comparing path indexes of the predicted path and a reference path under the associated scene, discovering path abnormalities in a timely manner, and outputting early warning information. The method can discover network routing abnormalities in real time, and effectively reduces the adverse effects of user network use caused by routing changes.

The invention relates to a DDPG satellite routing optimization method based on knowledge enhancement and improvement, belongs to the field of satellite routing, and aims to reduce satellite routing communication time delay and resource consumption and provide an autonomous routing decision scheme for satellites. According to the method, a DDPG neural network is improved through knowledge enhancement, routing actions and routing strategies possibly adopted by satellites are predicted by utilizing an inter-satellite link topological graph of a satellite network, and a routing path for satellite information transmission is optimized. Specifically, a full connection layer in a DDPG model is replaced with a trainable spline function, a single activation function in a neural network is replaced, and the real-time routing decision optimization performance of the satellite network moving at a high speed is effectively improved. By innovatively combining the dynamic decision-making capability of the DDPG and the interpretability of the trainable spline function, the method provided by the invention realizes a faster convergence speed in the satellite routing decision, and can significantly optimize the dynamic routing decision in the satellite network.

The present invention relates to a DDPG satellite routing optimization method based on knowledge enhancement and improvement, which belongs to the field of satellite routing and aims to reduce satellite routing communication delays and resource consumption and provide satellites with autonomous routing decision-making solutions. The method improves the DDPG neural network through knowledge enhancement, uses the inter-satellite link topology map of the satellite network, predicts the routing actions and routing strategies that the satellite may take, and optimizes the routing path of satellite information transmission. Specifically, the present invention replaces the fully connected layer in the DDPG model with a trainable spline function, replacing the single activation function in the neural network, effectively improving the real-time routing decision optimization performance for high-speed moving satellite networks. By innovatively combining the dynamic decision-making capabilities of DDPG with the interpretability of trainable spline functions, the present invention achieves faster convergence speed in satellite routing decisions and can significantly optimize dynamic routing decisions in satellite networks.

The invention provides an online flow experiment method and system based on dynamic routing and layering rules, and belongs to the technical field of internet software engineering.The method comprises the steps that experiment rules are created through an experiment management platform, and the experiment rules are issued to a dynamic configuration center; obtaining an experiment rule from the dynamic configuration center through a lightweight SDK (Software Development Kit) in a business service; based on a user request and an experiment rule, real-time routing calculation is carried out through the lightweight SDK, and an experiment context is generated; executing service logic according to the experiment context, and reporting corresponding experiment burying point data; and collecting and calculating experiment burying point data in real time, generating experiment indexes, and feeding back the experiment indexes to the experiment management platform. According to the invention, through dynamic routing and layering rules, the flow utilization efficiency is improved, and experiment conflicts are avoided; instant feedback is provided through real-time point burying and streaming computation, the decision-making efficiency is optimized, and the operation and maintenance cost is reduced at the same time.

The application discloses a kind of real-time routing switching method and device based on multi-rule decision engine.The method is calculated by the real-time feedback data of the combined node collected, and the investment return rate of each node is obtained;Through routing decision engine, according to the investment return rate, the pre-defined multi-dimensional performance evaluation and decision rule is executed, and the performance of the combined node is evaluated and compared, and the routing switching decision is generated;During marketing activity, according to the routing switching decision, the routing switching between suppliers or strategies is executed;The routing switching decision and the corresponding execution effect are recorded to the strategy effect knowledge base.The application can achieve the technical effect of automatically switching data from inefficient suppliers or strategies to efficient suppliers or strategies by monitoring ROI data in real time.

The invention discloses an inter-domain routing message data feature extraction method and device, and the method comprises the steps: loading a routing snapshot, updating a dump file, and constructing a global real-time routing table, an autonomous system routing prefix table and a routing prefix autonomous system mapping table; establishing and updating an autonomous system country mapping table based on AS number distribution data and IP prefix country affiliation information, and excluding ASs of which registration places are inconsistent with operation places; processing route update data in a bucket manner according to a fixed time interval, and extracting route change characteristics of a prefix level and an autonomous system level; and aggregating to generate national granularity features, constructing a national routing topological graph, and extracting graph structure features such as node number and diameter. Through a three-level granularity feature extraction and hierarchical convergence strategy, cross-domain noise is effectively isolated, feature stability and interpretability are improved, accurate and hierarchical input features are provided for machine learning detection of BGP abnormal events, and the method is suitable for routing anomaly monitoring and analysis in the network space security field.

The present invention provides a data transmission method, system, electronic device, and storage medium. The method includes: obtaining an Internet of Things (IoT) subnet topology; constructing a hierarchical connectivity tree based on the number of hops required for each IoT node in the IoT subnet topology to reach a gateway node, wherein the initial level of the hierarchical connectivity tree is the gateway node, and multiple lower levels of the hierarchical connectivity tree are respectively distributed with one or more IoT nodes; the IoT node is used to transmit its node information to the gateway node, and the gateway node is used to construct a real-time routing tree based on the node information and a preset data transmission strategy, wherein the real-time routing tree is updated in real time according to a preset period; and completing IoT data transmission based on the real-time routing tree. This method realizes the real-time definition and update of IoT routing, avoids the premature exhaustion of energy of some IoT nodes due to the use of a fixed transmission path, and avoids the failure of task deployment. The method has high flexibility and strong adaptability.

METHOD FOR ROUTING DIGITAL MULTIMEDIA CONTENT IN REAL TIME FROM AN ADDRESSING FUNCTION AND TRANSLATION EQUIPMENT A method for routing digital multimedia content (TRL1,FL) in real time comprising: A transmission (DIFF1) of a first multimedia content (FL) by an addressing function (SW) to a first set of software translation processing channels (CAB) and producing an activation signal (SCAB) indicating the generation of a second multimedia content (TRL1); an addressing function (SW) detecting the presence of each activation signal (SCAB) of each of the software translation processing channels (CAB); A transmission (DIFF2) of multimedia content (FL) by the addressing function (SW) to the first user terminal (T1) when an activation signal (SCAB) is detected when the input language (LE) of said software translation processing channel is the first user language (L1);A transmission (DIFF3) of multimedia content (TRL1) when an activation signal (SCAB) is detected from the software translation processing channel (CAB) whose output language (LS) is the first user language (L1). Figure for the abbreviation: Fig.1;

The invention relates to a method for forming or modifying a customized electronic map of a combined electronic map for an optimized way finding application. The method comprises receiving a floor plan or plans of different floors of a facility or a ground plan of an outdoor area in electronic form, forming movement paths from a plurality of points to a plurality of points for forming a movement path network, adding movement information to the floor plan or the floor plans or the ground plan, and adding additional information to the floor plan or the floor plans or the ground plan. The invention further relates to an electronic device and a computer program product performing the method. In addition, the invention also relates to a method for optimizing a route in a combined electronic map comprising an electronic outdoor and a customized electronic indoor or outdoor map by an optimized way finding application and an electronic device and a computer program product performing the method.

The invention provides an emergency communication method, device and system and a medium, relates to the technical field of communication, and is used for solving the problem of how to set emergency terminals and select emergency terminal routes. When the method is applied to a first emergency terminal or a second emergency terminal, the first emergency terminal and the second emergency terminal are arranged in pairs; the method comprises the following steps: acquiring self real-time information, wherein the real-time information comprises real-time position information and real-time network performance information; the first emergency terminal sends own real-time information to the cloud platform and receives real-time routing decision information from the cloud platform, and the real-time routing decision information is formulated by the cloud platform according to the real-time information of the first emergency terminal and the second emergency terminal; and selecting a routing communication channel with the second emergency terminal or the first emergency terminal according to the real-time routing decision information. According to the invention, optical cables are replaced by the emergency terminals arranged in pairs, and real-time routing decision is carried out through the cloud platform, so that the communication quality between the emergency terminals is guaranteed.

The invention relates to the technical field of spiking neural networks, and provides a route generation method and device based on a mixed mode. The method comprises the following steps: receiving a routing request of a current pulse event, analyzing an application layer time constraint, and distributing a total time window from a source node to each destination node as a time sub-budget corresponding to each hop in a network forwarding path; generating a routing path meeting a time constraint for the routing request of the current pulse event; predicting a destination node set of a routing request of a next pulse event, and constructing a pre-computation multicast distribution tree based on the predicted destination node set and a time constraint requirement; and when a routing request of a next pulse event is received, if the routing request of the next pulse event is matched with the predicted destination node set, using the pre-computation multicast distribution tree as a routing path so as to save the time overhead of real-time routing computation. The method is used for solving the problem that the real-time performance and the calculation efficiency of event-driven communication are difficult to balance.

The invention provides an electric power communication network real-time routing control method considering dual-network common-mode risk, and relates to the technical field of electric power communication, and the method comprises the steps: determining a total routing path set of an electric power communication network; the electric power communication network comprises a first communication subnet and a second communication subnet; based on an approximate ideal solution sorting method, selecting a first routing path set and a second routing path set from the total routing path set; and determining an optimal working routing path of the power communication network based on the first routing path set and the second routing path set. Through the above mode, the common-mode risk in the two communication subnets is effectively reduced, the dual-network common-mode risk between the two communication subnets is reduced at the same time, the possible network fault or paralysis risk can be avoided, the stability and reliability of data transmission of the power system are ensured, and the stability and scheduling response capability of the power system are improved.

The application belongs to the technical field of network transmission, and particularly relates to a time-sensitive network traffic routing and scheduling method based on centralized control; comprising: a CNC constructs a network topology and generates global topology information; a CUC collects demand information of each to-be-transmitted traffic from each source node and divides traffic priority according to the demand information; the CNC generates an optimal transmission path for each traffic according to the global topology information; the CNC allocates a transmission time slot for each traffic and dynamically adjusts the transmission time slot; the optimal transmission path and the transmission time slot are synchronously allocated and the transmission time slot is optimized and the transmission time slot jitter is controlled; a scheduling table is generated according to the final allocation result of the path and the time slot, and the CNC distributes the scheduling table to each network device; when the network state changes, the scheduling table is dynamically adjusted to realize real-time routing and scheduling of the traffic; the application realizes dynamic management of traffic priority, enhances the utilization rate of network resources, and guarantees the service quality and high availability of transmission.