33 results about "Traffic balancing" patented technology

The invention relates to the technical field of Internet of Things security, in particular to a lightweight Internet of Things malicious traffic sensing method and system based on multi-model collaboration, and the method comprises the steps: carrying out the data enhancement of traffic sample data, and generating a synthetic traffic sample, so as to balance various traffic samples; distributing a feature importance score for each traffic feature in the traffic balance sample data set by using a multi-decision tree integrated evaluation algorithm, and screening out key traffic feature data based on the feature importance scores; and evaluating the trained random forest model by using the test set, constructing a prompt instruction according to a classification result of the random forest model, reasoning an optimization scheme of a classification training process of the random forest model by using a large model, and performing optimization to obtain a malicious traffic perception classifier. And classifying the to-be-processed Internet of Things traffic data by using the malicious traffic perception classifier. According to the method, efficient, accurate and robust malicious traffic sensing of the Internet of Things equipment can be realized, and the security and reliability of the Internet of Things system can be effectively guaranteed.

Systems and methods of balancing traffic perform or comprise, in a cell site configured to provide network services in a plurality of layers, respective ones of the plurality of layers having different bandwidth characteristics: receiving a traffic data for the cell site; determining a cell radius for respective ones of the plurality of layers; and in response to a determination that the plurality of layers are coincident, distributing a plurality of users to the plurality of layers based on the traffic data.

A method, a network device, and a non-transitory computer-readable storage medium are described in relation to an IAB backhaul sharing among co-located radio sites service. The IAB backhaul sharing among co-located radio sites service may include a traffic balancing service that performs access link bandwidth management and allocation to integrated access and backhaul (IAB) nodes based on bandwidth assessment of IAB backhaul links and bandwidth demands of IAB nodes. The service may further include a scheduling service that includes localized scheduling and load balancing at each IAB node of user traffic based on an allocated bandwidth provided by the traffic balancing service. The scheduling service may include an integrated schedule between co-located radio sites associated with the IAB node.

The invention discloses a service feature adaptive traffic scheduling method and system in a multi-cloud environment, and the method comprises the steps: randomly transmitting a user traffic request to any cloud service in the multi-cloud environment; the deep learning model obtains monitoring data of each cloud service in the multi-cloud environment, and judges whether a current user traffic request needs to be forwarded or not based on a set traffic balancing rule according to the user traffic request; if the judgment result is yes, the current user flow request is forwarded to the target cloud service, and if the judgment result is no, the current user flow request is received and processed by the current cloud service. The core of the method is that by means of a deep learning model, an entrance gateway is arranged in each cloud service to serve as an executor of flow scheduling, and the flow scheduling proportion among multiple cloud services is dynamically adjusted by taking a flow balancing rule abstracted from a specific service target as a guide, so that the set flow balancing rule target is achieved.

The invention discloses a damaged road network recovery sequence optimization method with maximum toughness as a target based on user balance flow distribution, and aims to solve the problems of low recovery efficiency of a post-disaster traffic road network and lack of scientific basis for decision making. The method comprises the following implementation steps: firstly, constructing a damaged road network toughness evaluation framework, and defining a toughness index as a reciprocal of a product of recovery time and total transit time in combination with a traffic network topological structure and a flow demand; secondly, establishing damaged road network toughness optimization scene parameters, abstracting a road network into a connected graph, and defining a recovery scheme set; then, a mixed integer linear programming model with the maximum toughness as the target is constructed, a nonlinear problem is converted into a linear problem through secant approximation, and constraint conditions such as flow balance and travel requirements are set; and finally, performing global optimization solution on the model by using a high-performance solver to generate an optimal recovery scheme. According to the method, the road network toughness can be scientifically quantified, the recovery sequence is optimized, blindness of experience decision making is avoided, the passing efficiency of a post-disaster traffic system is rapidly improved, efficient and scientific decision support is provided for post-disaster traffic recovery, and the method has important practical application value.

Traffic balancing for moving users, proactive slice management, and predictive slice management using Artificial Intelligence (AI) are disclosed. Radio Access Networks (RANs) are adjusted based on predicted data usage for moving users based on the applications they are running using AI / machine learning (ML) models. Load balancing is performed when new users move into a coverage area. Predictive slice management is performed to allocate bandwidth to users for a period of time based on predicted application usage.

The present invention provides a routing port allocation method, which is executed on a routing device and includes: grouping available ports and forming a usage status list to record the current usage status of each group of ports; establishing and maintaining a port allocation list to record the correspondence between terminals and port groups; when a terminal is successfully connected, allocating a group of ports to the terminal according to the usage status list, and updating the usage status list and port allocation list; when a terminal is disconnected, deleting the corresponding record entry from the port allocation list and updating the usage status list. The present invention also provides a data flow direction identification method. The routing port allocation method and data flow direction identification method provided by the present invention can obtain the terminal corresponding to the downlink data before port conversion and achieve traffic balancing, reducing processor occupancy time and improving data processing efficiency.

This invention discloses a global optimization method for differentiated traffic control measures that does not violate travel demand, relating to the field of intelligent traffic management technology, and includes the following steps: Step 1: Construct a global optimization framework for differentiated traffic control measures; Step 2: Define the urban traffic network and demand flow parameters; Step 3: Establish a mixed-integer linear programming model for optimizing road network flow distribution; Step 4: Consider factors such as flow demand, flow balance, and travel impedance, approximate the impedance function and objective function with secant lines, and construct constraints for the mixed-integer linear programming model; Step 5: Solve the model to obtain the optimal flow distribution result; Step 6: Obtain differentiated traffic control measures from the model based on the flow distribution result. This invention's method can construct a mixed-integer linear programming model that balances individual interests and overall efficiency based on the complex and diverse travel demands in large-scale urban road networks, design hierarchical control measures, and achieve synergistic optimization of control and path guidance, thereby improving the overall traffic efficiency of the road network.

Systems and methods of balancing traffic perform or comprise, in a cell site configured to provide network services in a plurality of layers, respective ones of the plurality of layers having different bandwidth characteristics: receiving a traffic data for the cell site; determining a cell radius for respective ones of the plurality of layers; and in response to a determination that the plurality of layers are coincident, distributing a plurality of users to the plurality of layers based on the traffic data.

Load balancing in a wireless communication network includes receiving quality of experience, QoE, data from a plurality of electronic devices connected to the network. The QoE data is indicative of a quality of a user experience provided by each of the electronic devices whilst the devices provide a service using the network. The QoE data is input to a load balancing algorithm configured to output a load balancing action based on the QoE to improve a balance of network traffic across nodes in the network and an overall QoE across the devices using the wireless communication network. The load balancing action is then implemented in the network. The QoE data may comprise data on throughput, playout delay, buffer level. The load balancing algorithm may also receive data indicative of current load distribution comprising measurements on the quality of network signals received by the devices. The load balancing algorithm may optimize the balance of traffic across the network and the overall QoE of the devices. Feedback may be given from the devices after the load balancing action. The load balancing action may comprise retaining an existing connection, performing cell handover or inter-radio access, RAT, handover.

Techniques for adjusting a frequency at which a memory controller polls a refresh flag are disclosed. Traffic counters are maintained to track traffic to portions of a memory device. A traffic balance is computed using the traffic counters, which indicates a distribution of the traffic to the portions of the memory device. For example, where access operations are performed equally in two halves of a memory bank, the traffic to the memory bank is equally balanced. In memory devices implementing background refresh traffic technology, high traffic balance may indicate that a memory device is likely to be adequately refreshed because opportunities for background refresh operations are evenly distributed. As a result, a memory controller may reduce the frequency at which a refresh flag of the memory is polled when the total traffic exceeds a threshold and when the traffic balance exceeds a threshold.

The invention discloses a flow control method and system for optimizing ammeter data collection, and relates to the technical field of power network data collection, and the method comprises the steps: carrying out the first parameter adjustment of a first object according to a first execution state, collecting the feature data of a second object, and carrying out the first adjustment processing of the first object according to the feature data. The second object realizes first target optimization by adjusting own data in real time, and the first object performs first parameter adjustment again according to the first target optimization. According to the method, the cache utilization coefficient and price of the power gateway are dynamically adjusted, so that efficient utilization of cache resources is realized. Through the application of a matching mechanism, the data traffic is adjusted in real time to optimize the use of the power gateway cache, the traffic balance of power network data collection is ensured, and the cache overload or resource waste is avoided. And better effects are achieved in the aspects of system stability and reasonable configuration of power gateway resources.

The present application discloses a traffic balancing method, system, device and computer-readable storage medium, which relate to the field of data transmission. In this solution, when the server and the client perform data transmission through the network card port, each network card port is monitored in real time; it is determined whether the target network card port for the current data transmission is the same as the network card port used last time; if so, the target network card port is adjusted until the target network card port is different from the network card port used last time. It can be seen that the method in this application can avoid the reuse of the same network card port, so that even when there are fewer clients, the balance of network card port traffic can be achieved, avoiding insufficient bandwidth utilization, and the entire process is completed automatically, thereby improving the user experience.

The invention provides a micro-service component development method based on standard data analysis, a medium and a system, and belongs to the technical field of development methods.The micro-service component development method based on standard data analysis comprises the steps that a standard data analysis model is established for data hierarchical processing, a historical service request is processed by adopting a multi-dimensional Joseph ring algorithm to obtain an access calling sequence, service access parameters are calculated based on the access calling sequence, and an optimal communication flow distribution scheme is calculated by adopting a communication flow optimization equation set. The communication flow optimization equation set comprises a resource constraint equation, a flow balance equation, a time delay optimization equation and an overhead optimization equation, the resource constraint equation is used for limiting the total resource use amount, the flow balance equation is used for balancing the data flow, the time delay optimization equation is used for reducing the communication time delay, and the overhead optimization equation is used for reducing the total overhead of system operation; and constructing a service calling routing table and establishing a micro-service component registration center, and optimizing service resource allocation by adopting a multi-dimensional knapsack algorithm.

The invention discloses a differential traffic control measure global optimization method without violating travel demands, and relates to the technical field of intelligent traffic management. The method comprises the following steps: 1, constructing a global optimization framework of differential traffic control measures; 2, defining an urban traffic network and demand flow parameter representation; 3, establishing a mixed integer linear programming model for road network flow distribution optimization; 4, overall planning factors such as flow demand, flow balance and travel impedance, performing secant approximation on an impedance function and a target function, and constructing a mixed integer linear programming model constraint; 5, solving the model to obtain an optimal flow distribution result; and step 6, obtaining different traffic control measures from the model according to a flow distribution result. According to the method, a mixed integer linear programming model considering individual benefits and overall efficiency can be constructed based on complex and diversified travel requirements in a large-scale urban road network, hierarchical control measures are designed, collaborative optimization of control and path induction is realized, and thus the overall traffic efficiency of the road network is improved.

The application provides a FTP distributed downloading method and device based on flow balance, a medium and equipment. The method comprises the following steps: S110, generating a file list for each FTP server; S120, obtaining the respective current downloading task history records of each FTP server; S130, filtering out the file information with the file state of distributed and downloaded in the file list to form a current downloading task list; S140, selecting one FTP server with the minimum flow as a current target FTP server; S150, distributing one downloading task in the downloading task list to the target FTP server to enable the target FTP server to execute the downloading task; S160, marking the file state of the downloading task as distributed, and moving the downloading task from the downloading task list to the downloading task history record of the target FTP server; S170, judging whether the current downloading task list is empty; and S180, if yes, ending the method. The embodiment of the application balances the pressure of each FTP server.

Embodiments of the present application provide a data transmission method and device, terminal equipment and storage medium, the method comprises: obtaining a plurality of types of service data packets of the current service; according to the priority of the service type of the service data packet, determine the traffic balancing strategy corresponding to the current service; the traffic balancing strategy is sent to each sending terminal equipment; receiving the service data packet sent by each sending terminal equipment using the traffic balancing strategy, the embodiments of the present application formulate different traffic balancing strategies according to different service data packets, the traffic balancing strategy is used to make the preset service can normally proceed, then each sending terminal equipment and receiving terminal equipment send data packet according to the traffic balancing strategy, so that, through the formulated traffic balancing strategy, the preset service can normally proceed, and will not be affected by bandwidth.

The embodiment of the application provides a kind of equalization method, device, electronic equipment and storage medium of firewall traffic, which comprises: receiving the service request sent by client through preset firewall;According to the port number of the preset firewall, the port number of load balancing equipment and the five tuple information corresponding to the service request, the first firewall identity corresponding to the service request is determined;According to service request, the service data corresponding to service request is obtained;The second firewall identity of each port number of load balancing equipment is calculated, and the first firewall identity and the second firewall identity are matched;In the case where the first firewall identity and the second firewall identity match, the firewall matched with the first firewall identity is used to send service data, so that the firewall of sending request and the firewall of returning data can be ensured to be the same firewall, the equalization processing of firewall traffic is realized, and the processing efficiency is improved.

The application discloses a DNS-based traffic balancing scheduling method and device and a gateway device. The application divides the balancing scheduling of traffic and the forwarding of the home operator into multiple levels, and no longer performs load balancing processing on all traffic, but only indirectly schedules the traffic around DNS; the first level directly performs balancing scheduling on DNS request messages; the second level performs feedback correction, and according to a DNS response result, performs secondary traffic balancing correction; and the third level performs routing through ISP routing, so that the traffic is processed only in the service operator; thus, under the premise that the user traffic does not cross operators, the traffic can be more evenly distributed to different operator outlets, the traffic can be prevented from being blocked by the firewall of the cross-operator, and the problem of denial of service of the line of some operators to the outside caused by uneven traffic can be reduced.

Various embodiments of the present technology may provide a vessel coupled to a first reaction chamber and a second reaction chamber via a first gas line and a second gas line, respectively. Each gas line may include a variable feature, wherein each flexible feature is configured to vary flow kinetics of gas flowing through the gas line.

The present application discloses a communication traffic balancing method, a communication component, a computer communication system, a vehicle and a storage medium. The communication traffic balancing method is used in a computer communication system, and the communication traffic balancing method includes: obtaining a communication configuration table, the communication configuration table includes the basic cycle of the computer communication system, the message cycle of each communication message, wherein the message cycle of the communication message is the sending cycle of the communication message; generating a scheduling table according to the communication configuration table, the scheduling table includes the message bias of each communication message, wherein the message bias of the communication message is the number of basic cycles required to be biased after the communication message is reached; according to the scheduling table, the communication message is periodically encapsulated and the communication message is sent to the associated system. In this way, the message bias of each communication message can be determined through the scheduling table, so that the sending time of each communication message can be reasonably arranged, avoiding the phenomenon of communication message clustering, making the communication load balanced, and avoiding the loss of communication messages.

The invention provides a traffic flow path optimization method and system based on a column generation algorithm, and relates to the technical field of traffic flow path optimization, and the method comprises the steps: obtaining map data, transportation cost and transportation capability of a target region, and determining a plurality of basic parameters; generating an initial tree entering scheme; obtaining a path optimization model; determining an optimal tree entering scheme; and determining a corresponding optimal traffic flow path scheme with the target path point as an end point based on the optimal tree entering scheme. According to the method, the initial tree entering scheme based on the target path point is constructed, and continuous adjustment and optimization are carried out by utilizing the path optimization model and the column generation solution algorithm, so that the transportation cost can be effectively reduced, the traffic flow transportation capacity can be improved, the transportation path selection can be optimized, and the flow balance and the cost minimization in the transportation process can be ensured. According to the method, rapid and accurate path optimization can be carried out in a complex traffic network, and an accurate and operable scheme is provided for transportation management, so that the transportation efficiency is improved, and the logistics cost is reduced.

The present invention discloses a traffic balancing method based on multiple LoRa centralized controllers, and relates to the technical field of LoRa centralized controllers. The method comprises the following steps: S1: terminal data acquisition; S2: intermediate data processing; S3: traffic balance control; S4: server storage; and S5: terminal device display. The LoRa server performs intermediate node preprocessing by LoRa node devices, which is more conducive to system stability and balanced transmission. Each LoRa centralized controller can independently complete data acquisition and control tasks for various states of the control terminal. The terminal device achieves stable LoRa wireless communication with the LoRa centralized controller through regular inquiries, performs logical analysis based on the collected real-time traffic status, and sends the control results to the LoRa centralized controller via the LoRa server, thus achieving automated control and management.

The application discloses a kind of based on user balance flow distribution with maximum toughness as target damaged road network recovery order optimization method, to solve the problem of low efficiency, decision lacks scientific basis after disaster traffic network recovery.The method comprises the following implementation steps: first, construct damaged road network toughness evaluation framework, in combination with traffic network topological structure and flow demand, define toughness index as the reciprocal of recovery time and total travel time product;Second, establish damaged road network toughness optimization scene parameter, abstract road network into connected graph and define recovery scheme set;Then, construct the mixed integer linear programming model with maximum toughness as target, convert nonlinear problem into linear problem by cutting line approximation, and set flow balance, travel demand and other constraint conditions;Finally, the model is globally optimized and solved using high-performance solver, to generate the best recovery scheme.The method of the application can scientifically quantify road network toughness and optimize recovery order, avoid the blindness of experience decision, quickly improve the traffic efficiency of post-disaster traffic system, provide efficient and scientific decision support for post-disaster traffic recovery, and have important practical application value.

The embodiment of the invention provides a firewall traffic balancing method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving a service request sent by a client through a preset firewall; determining a first firewall identifier corresponding to the service request according to a port number of a preset firewall, a port number of load balancing equipment and quintuple information corresponding to the service request; obtaining service data corresponding to the service request according to the service request; calculating a second firewall identifier of each port number of the load balancing equipment, and matching the first firewall identifier with the second firewall identifier; in the embodiment of the invention, when the first firewall identifier is matched with the second firewall identifier, the firewall matched with the first firewall identifier is adopted to send the service data, so that the firewall for sending the request and the firewall for returning the data can be ensured to be the same firewall, the balance processing of the firewall flow is realized, and the processing efficiency is improved.

The invention discloses a data backup method, device and equipment for a multi-agent cluster and a medium, and relates to the technical field of cloud computing data backup, and the method comprises the steps: obtaining the data generation rate and residual storage capacity of each source node in the multi-agent cluster, and the transmission capacity of a communication link between the nodes; the backup data volume is dynamically distributed by adopting a data integrity priority or flow balance strategy, and a result is input into a backup configuration matrix to execute data backup, so that the data backup efficiency and reliability in a complex environment are improved, the data is ensured to be recoverable when a node fails, and the adaptability and robustness of the system are enhanced.

The invention relates to the technical field of mobile networks, and discloses a load traffic balancing method and device, computer equipment and a storage medium. The method comprises the following steps: periodically acquiring load information of any two adjacent core networks in a communication network; when a first preset condition is satisfied: the load intensity of the core network is greater than the load intensity of the adjacent core network, if the frequency points of the original cell and the adjacent cell are the same, the minimum access level of the original cell is increased; when a first preset condition is satisfied, if the frequency points are different, determining whether the priorities of the frequency points are the same; and if the frequency point priorities are the same, increasing the minimum access level of the original cell so as to access the target terminal to the adjacent cell. According to the invention, the load intensity of one core network is compared with that of the adjacent core network, and the switching parameters of the adjacent cells of the two adjacent core networks are dynamically adjusted, so that the anchor point of the mobile terminal is changed, the flow of a certain core network is increased, and load balancing is realized.

The application relates to a dynamic routing and traffic balancing method and system of a regionalized network topology, the method comprising the following steps: dividing a satellite network into multiple partitions, and allocating a core node for traffic scheduling and routing calculation to each partition; each core satellite node responds to each traffic demand, adjusts bandwidth and traffic distribution in each partition through a multi-anchor segment routing method and a preset linear programming model; and each satellite node dynamically adjusts the routing of each traffic demand through a probability forwarding scheduling method based on a geometric topology according to the relative position of the satellite node and a target node. The application realizes low delay, high bandwidth utilization, load balancing and efficient fault recovery of the satellite network through network partitioning, a multi-anchor segment routing method and probability forwarding based on a geometric topology.

The invention discloses an urban traffic bottleneck edge global identification method in a travel demand uncertain scene, and relates to the technical field of intelligent traffic management. The method comprises the following steps: 1, constructing a bottleneck edge index and an identification framework based on traffic sensitivity; 2, defining a traffic network and flow parameters in an uncertain demand scene; 3, establishing a linear programming model for road flow distribution optimization under the worst condition in the uncertain demand scene; 4, factors such as traffic demand, traffic balance and travel uncertainty are planned as a whole, and linear programming model constraints are constructed; 5, solving the model to obtain an optimal flow distribution result; and step 6, bottleneck edge indexes are calculated according to a flow distribution result, and key bottleneck edges are obtained through sorting. According to the method, the key bottleneck road sections in the urban traffic network can be accurately identified, the influence caused by the uncertainty of travel demands can be effectively handled, the method can be widely applied to the fields of urban traffic planning, congestion management and road network optimization, and scientific decision support is provided for traffic management departments.

This application discloses a data backup method, apparatus, device, and medium for multi-agent clusters, relating to the field of cloud computing data backup technology. The method includes: obtaining the data generation rate, remaining storage capacity, and transmission capacity of the communication links between nodes in the multi-agent cluster; dynamically allocating the amount of backup data using a data integrity priority or traffic balancing strategy; and inputting the results into a backup configuration matrix to perform data backup. This improves the efficiency and reliability of data backup in complex environments, ensures that data can be recovered when nodes fail, and enhances the system's adaptability and robustness.