349 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.

Examples described herein relate to a switch, when operational, that is configured to receive in a packet an indicator of number of remaining bytes in a flow and to selectively send a congestion message based on a fullness level of a buffer and indication of remainder of the flow. In some examples, the indicator is received in an Internet Protocol version 4 consistent Options header field or Internet Protocol version 6 consistent Flow label field. In some examples, the congestion message comprises one or more of: an Explicit Congestion Control Notification (ECN), priority-based flow control (PFC), and / or in-band telemetry (INT). In some examples, to selectively send a congestion message to a transmitter based on a fullness level of a buffer that stored the packet and the number of remaining bytes in flow, the switch is to determine whether the buffer is large enough to store the remaining bytes in the flow.

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.

Techniques for optimizing messages in a telecommunications network are discussed herein. More particularly, an SMSF can be configured to refrain from sending deregistration and / or unsubscribe messages to a UDM in response to a handover from 5G to 4G, which can thereby reduce signaling in the network. Further, because of the suppressed messages, the network maintains SMSF session information, which indicates the delivery location for a SMS message. However, when a SMSC receives a SMS addressed to the UE, the HSS may query a UDR for SMSF session information, SMSF registration status, and / or AMF registration status. The HSS may determine a location for the SMS based on the active location of the UE, as determined by the AMF registration status. Thus, the techniques discussed herein represent network optimizations while allowing SMS messages to be correctly routed in a network.

The invention belongs to the technical field of large model management and control, and particularly discloses a multi-source large model service standardization management and control system and method, and the system comprises a standardization layer which is used for carrying out the standardization processing of an original message sequence, and obtaining a standard message sequence which is arranged according to a standard sequence; and the model adaptation layer is used for converting the standard message sequence into request bodies corresponding to different types of large models as input, converting response bodies output by the different types of large models into standard response bodies and feeding back the standard response bodies to a user. The invention provides a unified management and control technology during calling of a multi-source large model service, and format standardization and exception elimination of a user request message flow are completed through a standardization layer; standardization of a large model service interface is completed through the model adaptation layer, and unification of a multi-source large model calling request format, usage statistics and exception handling is ensured.

The invention discloses a flow-based local message classification method and device, and relates to the field of message classification, and the method comprises the steps: carrying out the parallel comparison of a keyword of a to-be-classified message with a keyword temporarily stored in a shift register, obtaining a comparison result, and generating an index matching result through an arbiter according to the comparison result; according to the locality principle of a message flow, historically queried table item information is cached into a dynamic cache table, an arbiter arbitrates a comparison result of a shift register, calculates an offset address of the dynamic cache table and obtains a matching result, and whether an original rule table needs to be queried and whether a dynamic cache table memory needs to be updated are determined according to a search result. Under the condition that the matching is unsuccessful, the dynamic cache table memory can guide the same message to directly use the offset address to obtain the table item information in the next search without searching from an original rule table, so that the hit rate is increased, the matching efficiency is improved, and the storage resources are saved.

The invention relates to the technical field of communication, and provides a short message traffic anomaly prediction and early warning method and device, and a storage medium. The method comprises the following steps: predicting the short message traffic of a target area in a preset time period based on a preset target short message traffic prediction method to obtain target short message traffic prediction data information; judging whether the short message traffic of the target area in the preset time period is abnormal or not based on the target short message traffic prediction data information; if yes, generating a short message processing mechanism of the target area in the preset time period based on the target short message traffic prediction data information; and processing the short message request in the target area within the preset time period based on the short message processing mechanism. According to the method, when the short message flow is abnormal, it is ensured that the short message request with the high priority is processed preferentially, and the situation that the short message is discarded when the short message gateway is overloaded is effectively avoided.

A method for realizing rate-splitting multi-access in a mobile cell-free massive MIMO system includes the following steps: splitting, by an access point, the data of each user into two parts with common message and private message, coding all the common message into one super message common message stream, coding each piece of the private message into a private message stream; coding, by the access point, the private message stream using an arbitrary linear pre-coding method, coding the super common message stream using an optimal pre-coding method, and sending the final coded super common message streams to user terminals after superimposing the final coded super common message stream on the private message streams; first decoding, by the user terminals, the super common message stream, removing the super common message stream using successive interference cancellation technology, and then decoding the private message streams.

A method for compressing a flow of CAN-bus messages, which comprises: (A) during a training stage: (a) determining at least one series-type pattern; (b) defining a compressed series-type command for each of said patterns, each command comprising parameters of: (b.1) a timestamp of a first message; (b.2) a message-ID; (b.3) a type of pattern; (b.4) an indication of a field within the messages; (b.5) a parameter value at the first message; (b.6) period between messages; and (b.7) number of messages; (B) during a compression stage: (c) dividing a record of CAN-bus messages into groups of a same message-ID; (d) within each group, finding messages of a same pattern; (e) for each series, forming a compressed command in a form as defined with values for at least several parameters; and (C) during a decompression stage: (f) using the series-type compressed commands to reconstruct the content of the series of messages.

Some embodiments provide a novel method for dynamically processing data message flows using different non-uniform memory access (NUMA) nodes of a processing system. Each NUMA node includes a memory and processors that can access data other memories of other NUMA nodes. A load balancing application associated with a first NUMA node receives flows destined for an endpoint application. The flows are assigned to the first NUMA node to be forwarded to the endpoint application. The load balancing application monitors a central processing (CPU) usage of the first NUMA node to determine whether the CPU usage of the first NUMA node exceeds a particular threshold. When the CPU usage of the first NUMA node exceeds the particular threshold, the load balancing application reassigns at least a subset of the flows to the second NUMA node for processing.

Some embodiments provide a novel method for updating firewall rules for data message flows processed at a physical network interface card (PNIC) connected to a host computer. A firewall of the PNIC receives an update to a particular firewall rule. The firewall identifies a particular data message flow that is processed at an embedded hardware switch of the PNIC using the particular firewall rule. The firewall updates a flow record associated with the particular data message flow to reflect the received update to the particular firewall rule. The firewall provides the updated flow record to the embedded hardware switch for the embedded hardware switch to process the particular flow according to the received update.

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 technique to monitor device health of endpoints in a VLAN is disclosed. A security appliance is set as the default gateway for intra-LAN communication. Message traffic is analyzed and anomalies are detected relative to normal message traffic that correspond to device health problems that may require service by a field technician.

This application provides communication methods and apparatuses. One example method includes receiving a first request message from an application function network element. When type information of a service flow in the message indicates that the service flow is an end-to-end service flow, access information of an ingress terminal and access information of an egress terminal is obtained based on information about a target terminal group in the message. Quality of service information of the service flow in the message is decomposed based on the access information of the ingress terminal and the access information of the egress terminal to obtain uplink quality of service information and downlink quality of service information. A network is triggered to configure a session of the ingress terminal based on the uplink quality of service information and to configure a session of the egress terminal based on the downlink quality of service information.

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.

The invention discloses a message center system and a message queue management method thereof, and the method comprises the steps: S1, detecting a load condition of a message system and a node operation state, and enabling the system to select an optimal node route according to an actual condition to transmit a message to a target node; s2, the message system judges the priority of the message and judges other personalized rules of the message, the message is classified and written into a message queue, and the message queue distributes the message to a target node; s3, the monitoring system detects system changes, automatically adjusts other rule configurations of the message center, evaluates system or node performance, and reversely writes the configurations to the rule configurations of the message center; and S4, in the whole life cycle from message receiving to message distribution, a monitoring center of the message system automatically and asynchronously monitors and analyzes message traffic, system performance and performance problems. By improving message routing, queue management and real-time monitoring, a more efficient and reliable message transmission mechanism is provided for a large-scale system.

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 modelling platform including at least one processor in communication with a memory device and a payment processor is provided. The at least one processor is configured to retrieve subsets of data from a transaction history database, derive training data sets from the subsets, apply model input data fields of each training data set as inputs to one or more machine learning models, and apply a machine learning algorithm to adjust parameters of the one or more machine learning models. The at least one processor is also configured to upload at least one trained machine learning model to an operational predictive model module, apply a stream of real-time authorization request messages as inputs to the at least one trained machine learning model, and transmit, to the payment processor in real-time or near real-time, values of at least one output obtained by applying the stream.

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 present invention relates to the field of information security technology, and discloses an information security communication method, device and computer equipment based on a car CAN FD network, wherein the method comprises: after the car is started, when slave ECUa has a message to send to slave ECUb, slave ECUa sends a request message to the main ECU; the main ECU decrypts the request message, obtains the target message stream ID, and verifies the legitimacy; when the target message stream ID is legal, the main ECU generates authorization information and sends it to slave ECUa and slave ECUb; slave ECUa encrypts and sends a message, obtains a first encryption result and sends it to slave ECUb; slave ECUb receives and decrypts the first encryption result to obtain a first decryption result; when the first encryption result and the first decryption result are successfully compared, the information security communication of the car CAN FD network is completed. The information security communication method, device and computer equipment based on the car CAN FD network provided by the present invention provide a comprehensive information security design, including intelligent networked car node identity authentication, to ensure confidentiality, integrity and availability of secure communication.

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.