20 results about "Traffic balancing" patented technology

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.

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.

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 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 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 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 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 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.

The invention discloses a fair space crowdsourcing task recommendation method based on competition balance, and relates to the technical field of space crowdsourcing task recommendation, in particular to a fair space crowdsourcing task recommendation method based on competition balance, which comprises three stages of closed-loop processes of task recommendation, worker selection and task allocation. And multi-stage probability recommendation, supply and demand flow balance and a fair perception distribution mechanism are fused. According to the method, the task allocation success rate and opportunity fairness between workers can be remarkably improved while the overall expected profit of the platform is guaranteed.

The invention discloses a data flow distribution method and device, a storage medium and electronic equipment, and relates to the technical field of distributed storage networks, and the method comprises the steps: analyzing a storage access request data packet under the condition that the storage access request data packet sent by a client through a virtual address is received, and obtaining a data flow; calculating a hash value corresponding to the data stream, calculating a target weight of each physical network card, and dividing a hash interval for each physical network card according to the target weight; and the target physical network card can be allocated to the data stream according to the hash value and the hash interval. The target physical network card is selected through the Hash strategy and the weight strategy, and then the same data flow is bound to the single physical network card, so that the problem that cross-network-card aggregation cannot be avoided while multi-network-card flow balance cannot be realized in the RoCE network in the related technology is solved.