263 results about "Message flow" patented technology

The invention discloses a remote centralized control distributed data processing and analysis method based on a JMS, and the method comprises the steps: achieving the message routing and resource scheduling through the real-time monitoring of the state of a system, reinforcement of learning decision, deep learning optimization and multi-dimensional message distribution; dynamically adjusting message flow rate and queue length based on real-time network conditions, node load and flow fluctuation; through edge node intelligent task scheduling, distributed collaboration of calculation and storage is realized; adaptive compression algorithm selection is carried out by using deep learning, and the consumption of message transmission bandwidth is reduced; non-tampering storage of messages is realized through a block chain technology; based on a container arrangement technology, dynamic expansion and contraction of computing resources are realized; and dynamic resource scheduling and optimization decision are realized by utilizing reinforcement learning and multi-dimensional monitoring data. According to the invention, the bottleneck problem of the traditional message transmission system is overcome, and the system can efficiently and reliably process mass data in a high-concurrency and high-throughput scene.

The invention relates to the technical field of data processing, in particular to a regulation and control management method and system based on a Kafka message queue. According to the method, a time feature vector is constructed based on historical message traffic and event tags, and a node load coefficient is predicted through a graph neural network in combination with a Kafka Broker network topology; performing queue scheduling according to the message priority and the node load coefficient, and optimizing a message processing sequence; performing decoupling management on calculation, storage and network resources according to the resource use indexes, and judging whether capacity expansion and shrinkage, copy migration or current limiting adjustment is triggered or not; a lightweight Kafka instance is deployed at an edge node, hierarchical storage of the edge and the center is realized in combination with data activeness, and data synchronization is asynchronously completed; and constructing a recovery strategy model through reinforcement learning, and realizing automatic identification and regulation response of node abnormity.

A process includes monitoring a plurality of message flows sent by respective network devices of a plurality of network devices. The plurality of message flows is associated with reporting a network telemetry metric to a network management system. The process includes determining that a given message flow of the plurality of message flows exhibits an unexpected behavior. The process includes, responsive to determining that the given message flow exhibits the unexpected behavior, determining an aggregate available bandwidth for message flows of the plurality of message flows, which respectively exhibit expected behaviors. The process includes, responsive to determining that the given message flow exhibits the unexpected behavior, modifying a bandwidth of the given message flow based on the aggregate available bandwidth.

The invention relates to a message queue efficient management method of a message center system, provides an efficient message center system, in particular to a message queue management method, and aims to improve the efficiency and reliability of message transmission. According to the invention, a novel message routing algorithm is introduced, and the algorithm can quickly and accurately transmit the message to the target node according to dynamic factors such as system load and node state. According to the message queue management, an innovative message queue management method is provided, and it is ensured that messages are arranged and distributed according to priorities, sequences or other specific rules. According to the real-time monitoring mechanism, the method has the capability of monitoring the message flow in real time so as to detect and solve potential performance problems. Therefore, the message center can perform selective message routing forwarding according to the system load condition, the priority / emergency degree and the like based on the message management modes, and the message routing efficiency of the system is greatly improved.

The disclosed system for testing of fleet management software generates virtual assets (e.g., simulations of machinery) that are associated with simulated sensor values. For at least one particular asset in the set, the system generates simulated application programming interface (API) messages. For at least one simulated API message in the simulated API message set, the system parses, from the simulated API message, simulated message data that relates to message flow through integration points. The system generates a visualization that includes an indication of system latency for messages flowing through the integration points. The system latency is determined based on the simulated message data.

The invention relates to the technical field of network security, in particular to a network security situation awareness method based on artificial intelligence, which comprises the following steps: deploying probes on a plurality of key link nodes of a network, and acquiring a specific type of network basic maintenance message flowing through the node; based on the obtained message, microcosmic time sequence characteristics of the message are extracted, and a first time sequence signal is formed; comparing the first time sequence signal with a pre-stored node reference time sequence signal, executing collaborative deviation calculation, and generating a collaborative deviation coefficient; and based on the collaborative deviation coefficient, determining a local vibration intensity value of the node, converging local vibration intensity values of a plurality of nodes in the network, and executing spatial correlation fusion calculation. According to the method, anomaly detection is realized by analyzing the time sequence coordination rule of the network basic maintenance message, any abnormal condition damaging a normal coordination mode can be captured, and the recognition rate of unknown threats is improved.

The invention relates to a token bucket control method. The method comprises the following steps: setting a filling time interval of a token bucket and an information rate of the token bucket; the token bucket is filled at regular time according to the filling time interval, and the number of tokens filled each time is obtained through calculation according to the information rate and the filling time interval. The invention further provides a corresponding token bucket control device. According to the invention, an improved token bucket control scheme can be provided, the token bucket can be stably filled with tokens, the stability of message flow control is improved, and the system cost can be reduced.

A message management platform may receive, from an application operator, a configuration of a message flow. The message flow includes one or more messages associated with trigger conditions. The platform may receive, from a code snippet incorporated in an application of a user computing device, a notification that the user computing device has used the application. The platform may associate a user identifier with the user computing device. The platform may subscribe to, on behalf of the application operator, one or more API notification channels of the application builder platform. The platform may receive an API notification from the application builder platform. The platform may determine that the application builder platform's user is associated with the user identifier used by the message management platform. The platform may determine that the event described in the payload matches the trigger condition and transmit the first message to the user computing device.

The invention provides a service message processing method, electronic equipment, a storage medium and a program product. Service messages sent by the bottom cloud pool and message flow values are obtained, the service messages are classified, and the classified service messages and corresponding service type identifiers are obtained; determining a target business service module and a target message queue according to the business type identifier, and determining business priorities corresponding to the classified business messages; and determining a target node number of the service nodes in the target business service module according to the message traffic value and the business priority. Sending the classified service messages to a target message queue; sending the classified business messages to a target business service module through the target message queue; calling a service node through a target business service module, processing the classified business message, and generating a message processing result; sending the message processing result to the target service application; the problem that the processing efficiency is low when the service message is processed is solved.

The present disclosure is directed to distributing processing capabilities throughout different nodes in a wireless mesh network. Methods and apparatus consistent with the present disclosure increase the efficiency of communications in a wireless mesh network because they help minimize the need to forward communications to other nodes in the wireless mesh network such that an evaluation can be performed. Apparatus and methods consistent with the present disclosure may distribute ratings or verdicts associated with previous requests to access data to different nodes in a wireless mesh network without generating additional wireless communications through the wireless mesh network. Apparatus and methods consistent with the present disclosure distribute content ratings to different nodes in a wireless network such that different wireless nodes may block redundant requests to undesired content without increasing messaging traffic.

CAN bus signal format inference includes: extracting candidate signals from training CAN bus message traffic; defining one or more signals, each signal being a candidate signal that matches structural characteristics of a matching data type and each signal being assigned the matching data type; and generating an inferred CAN bus protocol with which the defined one or more signals conform. Signals are extracted from CAN bus message traffic using the inferred CAN bus protocol, an anomaly in an extracted signal is detected, and an alert is generated indicating the detected anomaly. In another aspect, a transport protocol (TP) signal is extracted and analyzed to determine a fraction of the TP signal that matches opcodes of a machine language instruction set, and an anomaly is detected based at least in part on the determined fraction exceeding an opcode anomaly threshold.

The present invention relates to the field of data processing technology, specifically to a control and management method and system based on Kafka message queues. The invention constructs a time feature vector based on historical message traffic and event tags, combines the Kafka Broker network topology, and predicts the node load factor through a graph neural network; performs queue scheduling based on message priority and node load factor to optimize the message processing order; decouples computing, storage, and network resources based on resource usage indicators to determine whether to trigger expansion and contraction, replica migration, or current limiting adjustments; deploys lightweight Kafka instances at edge nodes, implements layered storage at the edge and center based on data activity, and asynchronously completes data synchronization; and constructs a recovery strategy model through reinforcement learning to achieve automatic identification and control responses for node anomalies.

A method and system for initiating message listening and routing message content to authorized user devices is disclosed. For a second user device to receive notifications regarding records of a first user, the second user device provides information identifying the first user to a notification service. The notification service verifies the identifying information. The notification service initiates one or more listeners to listen for messages flowing over a messaging bus that are relating to the first user. Once a message is identified, at least a portion of the message is used to generate a notification that may be sent to the second user device.

The present invention provides an endogenous security protection method for configuration data of a network node operating system. Upon receiving a network message flow, a data backup module backs up target configuration data in the data backup module; a distribution module respectively sends the received network message flow to dynamic heterogeneous redundancy executors; each dynamic heterogeneous redundancy executor stores target configuration data; a synchronization module may respectively read the target configuration data stored by each dynamic heterogeneous redundancy executor, and an arbitration module performs consistency arbitration; and the synchronization module performs online and offline scheduling on the executors on the basis of an arbitration result to enable a target executor having data disorder to go offline, and to enable a candidate executor to go online, and the candidate executor acquires the target configuration data from the data backup module.

The invention discloses a message subscribing and pushing process and system based on a WeChat applet, and the system comprises a user subscribing module which is used for selecting an interested message type in the WeChat applet and subscribing; the message pushing module is used for pushing the newly published message to the user; the message management module is used for managing own subscription messages; the message reminding module is used for judging that the user is in a sleep state and closing sound reminding accordingly; through the mechanism, the user can receive information in a customized manner, so that the user experience and satisfaction are improved; the system can timely and accurately push the newly published message to the user according to the subscription condition of the user and the authority verification of the WeChat API, so that the timeliness and accuracy of the information are ensured; and a message management module is provided, so that the user can conveniently manage own subscription messages, including operations such as checking, editing and deleting, and the control capability of the user on personal information is enhanced.

The invention discloses a communication-common-view-free network transmission time recording method and device and a medium, and belongs to the technical field of network communication. The method comprises the following steps: S1, a high-precision time synchronization stage: performing time synchronization on each component in a system through a high-precision time source, calibrating a system clock, and obtaining time reference information of an ns level; s2, a network transmission filtering stage: performing mirroring and ACL matching on a specific flow message through a special ASIC chip, and filtering the message according to an ACL rule, thereby performing forwarding flow control and mirroring a specified message; s3, a timestamp recording and analyzing stage: adding information fields to all messages in a data link layer, adding geographical location information into network transmission messages, and associating the location with time; and then the recorded timestamp data is analyzed to obtain the high-precision time of the message flow. And nanosecond-level time synchronization precision recording can be realized, and powerful technical support is provided for the field sensitive to time.

The invention provides a semi-supervised in-vehicle CAN bus anomaly detection method and device based on a dynamic graph, and relates to the technical field of anomaly detection. The method comprises the following steps: constructing an undirected time dynamic graph according to a message flow sequence and message content of a CAN bus; converting a timestamp into a time embedding vector through a time encoder, and learning low-dimensional representation of nodes and edges through a graph embedding module to obtain node embedding; predicting an anomaly score of each node according to the anomaly detection network, and calculating statistical distribution of normal nodes; further calculating reference distribution, deviation score and deviation loss; and generating a pseudo label for each node according to the deviation score, and further obtaining a trained anomaly detection model. The invention provides a semi-supervised intrusion detection method based on a dynamic graph in combination with semi-supervised and graph neural network theories for network attacks received by a CAN bus in a vehicle.

A technique to stop lateral movement of ransomware between endpoints in a VLAN is disclosed. A security appliance is set as the default gateway for intra-LAN communication by overwriting the DHCP responses. Message traffic from compromised endpoints is detected. Attributes of ransomware may be detected in the message traffic, as well as attempts to circumvent the security appliance. Compromised devices may be quarantined by assigning them the default gateway to a preset blackhole IP address.

The invention discloses a multi-dimensional dynamic trust evaluation method and system for a new energy power terminal, and the method comprises the steps: extracting the universal features of the terminal based on terminal log interaction data, extracting special knowledge evidence according to an equipment level perception layer and a network layer, and converting all features into 0-1 standardized values; when a terminal accesses for the first time, the static attribute of the terminal is complementarily collected, so that an initial trust baseline is established and an initial trust value is given; firstly, an IoT device interaction diagram is constructed, nodes are terminal devices, attributes are knowledge evidence vectors, edges are device direct interaction relations, and weights of the edges are defined by historical interaction quality; fusing the equipment knowledge evidence and the interaction relationship through a node2vec algorithm to generate a low-dimensional embedded vector; and finally, calculating the cosine similarity of the device vectors, multiplying the cosine similarity by the interaction frequency proportion to obtain the direct trust degree of the 0-1 interval, and quantifying the direct trust relationship between the devices. Performing trust evaluation on the message flow dimension; and historical interaction behavior trust evaluation and timeliness optimization.

The invention provides a distributed cloud rendering information flow collaboration method and system based on CIM management, and belongs to the technical field of cloud rendering information collaboration. When a cloud rendering engine of a city information model (CIM) management platform is used for service push pixel flow, the distributed cloud rendering information flow collaboration method and system based on the CIM management are realized by means of platform scheduling management capability and superposition of central message forwarding platform capability; message flow cooperative communication between a client and a server is realized, unified interception, processing and forwarding are carried out on a central message forwarding platform, and message flows are synchronized to pixel flow service clients of the same service, so that synchronization of message flow communication and scene pictures is realized among different pixel flows of the same service, and the synchronization efficiency is improved. The problems that different pixel flow messages cannot communicate and functions cannot be coordinated under the same service and the multi-concurrency scene are solved. The method has the characteristics of flexible use, intelligent distribution, message collaboration, rapid disposal and convenient deployment.

Apparatuses, methods, and systems for generating a sequential flow of electronic actions for a user are disclosed. One method includes sensing a flow trigger action, scraping characteristics of an electronic presence of the user, characterizing user identifying information using an LLM (large language model) and the characteristics, determining a selection of actions and conditional splits (branches) to form a sequential flow of electronic messages for sub-users of the user, generating one or more electronic messages based on the identifying information and the determined sequential flow of electronic messages, displaying the one or more electronic messages to the user, sensing actions of the user based on the displaying of the one or more electronic messages, finalizing the electronic messages based on the sensed actions of the user, and electronically sending the one or more finalized electronic messages to sub-users of the user.

The invention discloses a lost terminal identification method and system oriented to a metropolitan area network and a medium, and relates to the technical field of digital communication, and the method comprises the following steps: carrying out light splitting processing on metropolitan area network flow, obtaining a domain name request analysis message flow, and carrying out formatting processing; identifying risk domain names through dual-order matching with malicious domain names in a threat intelligence library; and based on the matching of the risk domain name and the unit IP library, identifying a lost unit, deploying a security DNS device at an exit of the lost unit to collect an internal domain name request, and finally matching an internal record to identify a lost terminal. According to the invention, the technical problem that the traditional network security protection cannot timely and accurately identify and position the lost terminal controlled by an attacker in the metropolitan area network in the prior art is solved, and the technical effect of quickly and accurately identifying and positioning the lost terminal through multi-level data matching and internal and external network flow analysis is achieved.

Disclosed is a method and a system that presents a framework for efficient agent communication, focusing on dialogues represented as directed graphs (DGs) to govern message flows. Each dialogue, embodying potential messages and replies, is managed at a session level, allowing multiple concurrent sessions between agent pairs. Invalid message transitions within sessions are gracefully handled with error messages. Initially offering fixed communication patterns, developers fill these patterns with concrete model definitions, customizing communication flows. Explicit decorators link message transitions to models, providing clear guidance. Sessions are asynchronous, supporting resumption post-interruption and enforced timeouts for completion. A dedicated storage system retains session information for context resumption and developer-specific data. The method ensures concurrency, maintaining valid global states amidst limited resource management by the autonomous agents. Interoperability hinges on concrete pattern instantiation, facilitating distinct domain-specific communication. The framework fosters structured, resilient, and customizable agent interactions, advancing efficient AI-driven communication paradigms.

CAN bus signal format inference includes: extracting candidate signals from training CAN bus message traffic; defining one or more signals, each signal being a candidate signal that matches structural characteristics of a matching data type and each signal being assigned the matching data type; and generating an inferred CAN bus protocol with which the defined one or more signals conform. Signals are extracted from CAN bus message traffic using the inferred CAN bus protocol, an anomaly in an extracted signal is detected, and an alert is generated indicating the detected anomaly. In another aspect, a transport protocol (TP) signal is extracted and analyzed to determine a fraction of the TP signal that matches opcodes of a machine language instruction set, and an anomaly is detected based at least in part on the determined fraction exceeding an opcode anomaly threshold.

A user equipment (UE) can be a mobile terminating (MT) device that may receive data from another UE or other network element via a telecommunication network. When a small data payload is available for an MT UE, a base station of the telecommunication network can send a paging message to the UE that includes a Mobile Terminating Small Data Transmission (MT-SDT) paging cause. Based on the MT-SDT paging cause in the paging message, the UE can use Small Data Transmission (SDT) procedures to respond to the paging message. The SDT procedures can allow the UE to obtain the small data payload while the UE remains in a Radio Resource Control (RRC) Inactive state.

The invention provides a weak user data resource allocation method based on maximum and minimum fairness, and relates to the technical field of wireless communication. The method comprises the following steps: dividing user data into multiple types of sub-messages, merging and coding each type of sub-messages to obtain each type of sub-message signal flow, and forming a complete signal flow set; and setting a pre-coding vector and constructing a pre-coding matrix to generate a transmitting signal, and constructing a receiving signal of a user based on the transmitting signal. Then, on the basis of received signals of the users, the signal-to-interference ratio plus noise ratio and instantaneous rate of each sub-message flow are calculated, the user rate is distributed, and the total achievable rate of the user K is determined; taking maximization of the minimum total achievable rate of the user as a target, considering the corresponding instantaneous rate allocation constraint, the total power constraint of the transmitted signal and the rate allocation constraint of the user K, and constructing a maximum and minimum fairness data resource allocation model; and finally solving the model to realize optimal resource allocation. According to the data resource allocation method, the limitation of weak users on the public flow capacity can be broken through, and the utilization rate of data resources is improved.

The invention relates to the technical field of computers, and discloses a bus signal simulation method for a universal emission control system. The method comprises the following steps: acquiring equipment node topology, a protocol type and historical load data; constructing a bus network abstract model; extracting a message flow time sequence template; generating a concurrent message scheduling sequence conforming to the arbitration logic; fusing to form a high-fidelity signal substrate; superposing physical layer interference signals based on measured data; and the data is injected into a tested system through a hardware-in-the-loop interface. The system comprises a bus topology analysis module, a network modeling module, a time sequence template extraction module, a scheduling generation module, a signal fusion module, an interference injection module and a hardware output module. According to the method, through logic and physical layer combined modeling, the test authenticity, the coverage rate and the platform universality are remarkably improved.

The invention discloses a network anomaly diagnosis method, device and system, and belongs to the technical field of network communication. The method comprises the following steps: acquiring first data, and determining a fault type causing a first network exception event according to the first data; wherein the first data is network performance data of the first user access equipment in a first time period, the first time period comprises time when a first network abnormal event is detected, and the first network abnormal event is a network abnormal event detected based on a message flow flowing through the first user access equipment; the first user access equipment is used for accessing the terminal equipment to the network. According to the method, the efficiency of diagnosing the network abnormality can be improved.

The invention belongs to the field of homomorphic encryption, relates to a data analysis technology, and is used for solving the problem that an optimal encryption algorithm cannot be matched according to a data type in the prior art, in particular to a homomorphic encryption method and system for realizing real-time message flow protection. Comprising a hierarchical processing module, an encryption transmission module, a basic processing module, an efficiency optimization module, a basic output module, a high-order processing module, a noise suppression module and a high-order output module. The hierarchical processing module is used for performing hierarchical processing on the encrypted data packet: extracting numeric data in the encrypted data packet and marking the numeric data as basic data, and extracting multimedia data in the encrypted data packet and marking the multimedia data as high-order data; according to the method, the basic data and the high-order data in the encrypted data packet can be extracted and marked according to the data type and the complexity of the encryption processing algorithm, so that a basic layer uses lightweight addition homomorphic processing high-frequency simple operation and a high-order layer uses fully homomorphic supporting complex logic.