57 results about "Web cluster" patented technology

The embodiment of the invention provides a network congestion processing method, device and equipment, a medium and a product. The method comprises the following steps: determining a first network path which is congested in a network cluster, and obtaining a first transmission multi-element group corresponding to the first network path; based on the real-time traffic information of a plurality of network paths in the network cluster, a second network path is decided from the plurality of network paths, and a second transmission multi-element group corresponding to the second network path is acquired; the transmission load of the second network path meets a light load condition; establishing a mapping relation between the first transmission multi-component system and the second transmission multi-component system; and when the to-be-transmitted first message with the first transmission multi-element group exists in the first network path, scheduling the first message to the second network path for transmission based on the mapping relationship. The embodiment of the invention is beneficial to improving the stability of the network cluster.

According to the transmission optimization method of the network cluster system and the related equipment, the network cluster system comprises a plurality of network clusters, each network cluster comprises a plurality of network nodes, and the method comprises the steps that firstly, the link state of a communication link between every two network nodes is acquired, and a link connection matrix is acquired; the link connection matrix is used for representing the connection state of each communication link; then, obtaining a network cluster scheduling model, inputting all link states and the link connection matrix into the network cluster scheduling model, and obtaining an output link optimization transmission rate sequence and an optimization flow distribution proportion of each network cluster; and finally, the transmission rate of each communication link in the corresponding network cluster is adjusted according to each link optimized transmission rate sequence, and the flow distribution of the corresponding network cluster is adjusted according to each optimized flow distribution proportion, so that the utilization rate of transmission resources can be effectively improved when information transmission between network nodes is performed in the network cluster system.

The present disclosure relates to computer-implemented methods, software, and systems for distributing task execution at nodes of a web service cluster. A request is sent from an interface gateway to execute a task at a first service node at a web service cluster. The first service node is one of a plurality of service nodes at the web service cluster. The first service node is selected to execute the task based on evaluating a resource status matrix defining resource statuses of the plurality of service nodes in the web service cluster and resource requirements of the task. A status response from the first service node is obtained after executing the task. The status response comprises a current resource snapshot of the first service node. The resource status matrix is updated based on the obtained status response from the first service node.

The present application relates to a cluster shared traffic threshold-based rate limiting method and apparatus, which are used for achieving effective bandwidth management and allocation among a plurality of nodes in a cluster and among a plurality of network card queues in the nodes. The method comprises: S1, a cluster manager issuing a cluster rate limiting threshold of a specified data stream to each node in a network cluster, and adding the forwarding process of each node into a multicast to share traffic information between the nodes, the cluster rate limiting threshold being acquired in the forwarding process of the node; S2, a node controller collecting statistics about the traffic of the specified data stream flowing into a network card per second, performing marking, sending out, by means of multicasting, a unique identifier of the node and network card traffic received per second to be shared to other nodes in the cluster, and on the basis of a multicast packet received from the cluster, calculating a node rate limiting quota threshold of the present node; S3, on the basis of each service core for processing traffic of queues in the forwarding process of the node and the bandwidth proportion of the total traffic of the nodes, a bandwidth allocation scheduler allocating a core rate limiting quota threshold of each node; and S4, on the basis of real-time data of the processed traffic of each queue in the nodes and the proportion of the total bandwidth of the nodes, a token bucket manager performing periodical and dynamical adjustment by means of a token bucket algorithm to obtain the proportion of each queue in a cluster rate limiting bandwidth, so as to limit the rate of the traffic passing through the queue.

The invention discloses a domain name configuration system, and relates to the technical field of communication. And the first configuration gateway node receives the domain name configuration information and transmits the domain name configuration information to H configuration gateway nodes in all the configuration gateway nodes contained in other network clusters. Therefore, fast propagation of the domain name configuration information among the network clusters is realized, the network time delay of the domain name configuration information reaching each network cluster is reduced, and a guarantee is provided for each network cluster to receive consistent domain name configuration information. A first configuration gateway node sends domain name configuration information to K control nodes included in a first network cluster, a first control node sends the domain name configuration information to X configuration release nodes included in the first network cluster, and the first configuration release node transmits the domain name configuration information to an authoritative server. Therefore, the transmission efficiency of the domain name configuration information in the network cluster is improved, the network delay of the domain name configuration information reaching the authoritative server is reduced, and a guarantee is provided for the authoritative server to receive consistent domain name configuration information.

The invention discloses a node control method under a wireless network cluster, and relates to the field of wireless network cluster control. The method comprises the following steps: establishing a central distributed wireless network cluster model comprising a central service node, a strategy control node and an edge node; the central service node generates node overview state information in response to the received local state information transmitted by the edge nodes in the corresponding task area; the strategy control node responds to the node overview state information received from the center service node and establishes connection with the edge node to obtain detailed state information; the strategy control node determines strategy decision information according to the detailed state information and issues a strategy to the edge node in the corresponding area and / or the strategy control node; and when a plurality of task areas are divided, the corresponding central service nodes of different task areas perform data synchronization based on a distributed data synchronization mechanism. Compared with the prior art, the method is good in real-time performance, low in scene dependence and high in universality.

The invention discloses a bandwidth allocation method and device, electronic equipment and a nonvolatile storage medium. The method comprises the following steps: acquiring a network data link bandwidth of a target network cluster at a first moment; the shared data link is divided into a plurality of different data planes based on the service requirements of different network flows of the target network cluster, each data plane corresponds to the service requirement of one network flow, and the shared data link is a network data link commonly used by all network flows in the target network cluster; and performing network data link bandwidth allocation on each data plane based on a token bucket algorithm and the network data link bandwidth at the first moment, the token bucket algorithm being used for adjusting the network data link bandwidth of each data plane. According to the method and the device, the technical problems that the key service has no response and bandwidth resources cannot be fully utilized due to the fact that network traffic of multiple services mixedly uses a shared data link in the prior art are solved.

The embodiment of the invention discloses a terminal data management method and device, electronic equipment and a storage medium. Through a multi-terminal cluster management triggering mechanism, monitoring data, installation position data and equipment operation state data are classified, only core data are transmitted and matched with terminal identifiers, the transmission efficiency is improved, and redundant data occupation is reduced; secondly, a standby switching design of a main communication module and a virtual operator network cluster communication module is adopted, so that the problem of data interruption caused by link instability in a complex environment is solved; and meanwhile, the core data are uniformly reported to the multi-terminal management server, so that multi-terminal uniform management and control and real-time state control are realized, the problems of low reliability and poor management efficiency of the existing scheme are solved, and the reliability and management efficiency of terminal data management are improved.

The utility model provides a computing system, network equipment, a distributed network cluster system and a PCB computing board card, and the computing system comprises a mainboard which comprises a first expansion bus interface; the DPU waste chip acceleration card is connected to the first expansion bus interface, the DPU waste chip acceleration card comprises an independent CPU subsystem and an acceleration engine, the CPU subsystem is normal, the acceleration engine has a fault, so that the DPU waste chip acceleration card is used as a CPU daughter card of a single board, and the DPU waste chip acceleration card is connected to the first expansion bus interface. The CPU subsystem and the acceleration engine have power supply and clock systems that are independent of each other. According to the technical scheme provided by the invention, the inherent CPU subsystem in the DPU waste piece can be reused as a computing node of other equipment, so that the waste is reduced.

The present invention provides a Tor network attack and defense experimental platform based on multi-granularity simulation, which is to mirror the Tor node to a Docker container, and according to the network topology information uploaded by the user, use the container node of the Docker container mirror and the Tor node to form a simulated private Tor network, the simulated private Tor network can effectively generate background nodes that conform to the real network distribution, and then use the Master node to realize the construction of the simulated private Tor network cluster, and realize the maximum resource utilization of the simulated private Tor network cluster through the cluster scheduling strategy algorithm. The Tor network environment built by the present invention has the participation of real Tor applications, the traffic generated in the Tor link is the traffic of the real Tor protocol, and the traffic in the network can be captured, which is convenient to support the tracing attack and defense experiments.

Techniques are disclosed for a computing system comprising processing circuitry having access to a storage device, the processing circuitry configured to: generate, by a network controller executing in a software defined network (SDN), an advertisement in a first network cluster executing within a container orchestration platform of the SDN, wherein the advertisement conforms to a routing protocol and comprises information identifying a network service executing in the first network cluster, wherein the network service exposes a backend of a network application to the container orchestration platform of the SDN; and broadcast, by the network controller and to a second network cluster executing within the container orchestration platform of the SDN, the advertisement in accordance with the routing protocol.

The present invention discloses a multi-domain and multi-level cross-chain network collaboration method and device, which includes: obtaining cross-chain network collaboration information, and calculating the cross-chain weight value of each cross-chain network for other cross-chain networks based on the collaboration information; dividing the cross-chain network into regions and levels according to the collaboration information to form multi-level activity functions, element sets and multi-region activity functions and element sets; treating each region as a multi-agent, using multi-agents to link the activity functions and element sets of multiple regions in the cross-chain network to form a multi-agent cross-chain network cluster divided by domains; inputting the multi-agent cross-chain network cluster divided by domains into a trained multi-agent model to obtain the optimal domain weight value of the cross-chain network in each region; inputting the multi-level activity functions and element sets into a trained hierarchical reinforcement learning model to obtain the optimal layer weight value of the cross-chain network at each layer; and determining the final cross-chain network collaboration result.

The invention discloses a computing resource scheduling method and system based on a computing power network cluster, and relates to the technical field of computing power network clusters, and the method comprises the steps: determining computing tasks matched with a plurality of computing power nodes according to the calculation amount of the plurality of computing tasks, the node load states of the plurality of computing power nodes and a resource scheduling system; and the matching accuracy of the plurality of computing power nodes to the computing task is ensured. Therefore, a calculation progress distribution diagram of the computing power network cluster is determined according to the calculation progress of the plurality of computing power nodes on the calculation task and the calculation modes of the plurality of computing power nodes; according to the computing progress distribution diagram of the computing power network cluster, the computing resources matched with the computing power nodes and the task states of the computing tasks, the optimization system of the computing resources is determined, the computing power of the computing power nodes in the computing process is dynamically optimized, further optimization of the computing resources is achieved based on the optimization system of the computing resources, and the computing efficiency is improved. And the computing power of the computing power node in the computing process is improved.

The embodiments of this specification provide a network cluster data acquisition method and device, wherein the network cluster data acquisition method includes: acquiring a question text, wherein the question text is for at least one network cluster; processing the question text based on a target data processing model to generate an answer text, wherein the answer text includes an answer text and a step analysis text, wherein the answer text is generated by the target data processing model based on the step analysis text, and the step analysis text is generated by the target data processing model according to the question text and the network cluster data corresponding to each network cluster. This solution is based on data acquisition and processing of the target data processing model, which solves the problems of complex operation and low efficiency of traditional methods, thereby realizing flexible response of multiple dimensions and multiple indicators, and significantly improving the speed and accuracy of data acquisition.

The technology generally relates to systems and methods for operating a distributed processing network. Tenser Processing Units (TPUs) may be interconnected to one another as part of a TPU cluster or pod. A number of TPU clusters may be connected to one another via inter-cluster switches to form a distributed network of TPU clusters. The inter-cluster switches may be configured to efficiently direct data transmissions from a first TPU cluster to a second TPU cluster based on identification of the data transmission's final destination and performing next-hop lookup operations. The inter-cluster switches may also be configured to perform cut-through operations and may be configured to have an internal non-blocking connectivity.

The embodiments of the present disclosure provide a network cluster data acquisition method and apparatus, the network cluster data acquisition method comprising: acquiring question text, the question text being for at least one network cluster; processing the question text on the basis of a target data processing model to generate response text, wherein the response text comprises answer text and step analysis text, the answer text is generated by the target data processing model on the basis of the step analysis text, and the step analysis text is generated by the target data processing model according to the question text and network cluster data corresponding to each network cluster. By using a target data processing model for data acquisition and processing, the present solution addresses the operational complexity and low efficiency of traditional methods, thereby achieving flexible multi-dimensional, multi-indicator responsiveness, and significantly improving the speed and accuracy of data acquisition.

The invention relates to the technical field of development, can be applied to financial network scenes, and discloses a cloud native network configuration method and device, equipment and a medium, and the method comprises the steps: storing full node information in a network cluster to a distributed key value storage system through a command line interface; performing self-defined plug-in connection with the distributed key value storage system in response to the operation and maintenance tool, and performing deployment marking on a target node in the network cluster to obtain a deployment label of the target node; and associating and deploying the cloud native network and the routing daemon process on the target node in the network cluster according to the deployment label of the target node, so that the target node realizes bidirectional transmission of routing information through component linkage. According to the process, the cloud native network configuration process needing manual operation can be converted into an automatic process capable of being repeatedly executed, so that the configuration process of the cloud native network adapts to the dynamic characteristics of the cloud native environment, and the flexibility of the cloud native network in the deployment stage is improved.

The invention discloses a private network cluster access system and method based on gRPC bidirectional authentication. The flexibility, the expandability and the operation and maintenance efficiency of the system are remarkably improved while the safety is guaranteed. The system comprises a container management module used for realizing container management services including receiving and processing of user requests, business arrangement and request forwarding, and user interface management; the cluster end proxy module is used for realizing active connection and registration, long connection maintenance, security instruction execution, HTTP request proxy, local authority control, log auditing and self-healing capability; and the agent management module is used for realizing cluster connection management, multi-cluster access mode switching, access strategy management, cluster end agent centralized management, state monitoring and alarming, instruction issuing and routing, security flow agent, authority control and authentication and whole-process encryption guarantee.

The present application relates to a cluster shared traffic threshold-based rate limiting method and apparatus, which are used for achieving effective bandwidth management and allocation among a plurality of nodes in a cluster and among a plurality of network card queues in the nodes. The method comprises: S1, a cluster manager issuing a cluster rate limiting threshold of a specified data stream to each node in a network cluster, and adding the forwarding process of each node into a multicast to share traffic information between the nodes, the cluster rate limiting threshold being acquired in the forwarding process of the node; S2, a node controller collecting statistics about the traffic of the specified data stream flowing into a network card per second, performing marking, sending out, by means of multicasting, a unique identifier of the node and network card traffic received per second to be shared to other nodes in the cluster, and on the basis of a multicast packet received from the cluster, calculating a node rate limiting quota threshold of the present node; S3, on the basis of each service core for processing traffic of queues in the forwarding process of the node and the bandwidth proportion of the total traffic of the nodes, a bandwidth allocation scheduler allocating a core rate limiting quota threshold of each node; and S4, on the basis of real-time data of the processed traffic of each queue in the nodes and the proportion of the total bandwidth of the nodes, a token bucket manager performing periodical and dynamical adjustment by means of a token bucket algorithm to obtain the proportion of each queue in a cluster rate limiting bandwidth, so as to limit the rate of the traffic passing through the queue.

This application discloses a method, apparatus, electronic device, and storage medium for transmitting startup files, relating to the field of computer technology. The method includes: when the node to be deployed in a network cluster is in the basic system environment, obtaining the node status of other cluster nodes, and then determining the number of peer service nodes based on the node status of the other cluster nodes. When the number of peer service nodes meets the peer service conditions, it indicates that there are enough nodes in the network cluster to provide peer upload services. Each first file request is sent to the corresponding peer service node. The node to be deployed can obtain the first file block returned by the peer service node using the peer service download mode. In this way, the upload bandwidth of all peer service nodes in the network cluster is effectively utilized, thereby effectively improving the download speed of startup files and enhancing deployment efficiency.

The present invention relates to quality of service (QoS) of services. The present invention provides a QoS handling system for one or more services, the QoS handling system comprising a plurality of QoS handling nodes arranged in a hierarchical tree structure having at least two levels of hierarchy. The highest level of hierarchy comprises one or more root nodes, each root node being associated with a set of service instances of the services. The lowest level of hierarchy comprises a plurality of leaf nodes, each leaf node being associated with one service instance, each leaf node being derived from at least one root node, and the service instances of the set of each root node being associated with the leaf nodes derived from the root node. Each leaf node can apply a local QoS policy to the associated service instance of each leaf node, and each root node can apply a first common QoS policy to the set of service instances of each root node.

The present invention discloses a distributed messaging and monitoring method for multi-cloud computing environments, comprising the following steps: S1, searching for a target service node for a client to connect to a network cluster; S2, adding a DNS service to a k8s cluster management tool, and using the DNS service to elastically scale out the client's optimal service node from each target service node. By searching for a target service node that meets the client's service needs and then finding the optimal service node among each target service node, the present invention reduces the data interaction process required for the client to directly connect to a remote service node, thereby reducing network latency in message consumption.

Techniques are disclosed for a computing system comprising processing circuitry having access to a storage device, the processing circuitry configured to: generate, by a network controller executing in a software defined network (SDN), an advertisement in a first network cluster executing within a container orchestration platform of the SDN, wherein the advertisement conforms to a routing protocol and comprises information identifying a network service executing in the first network cluster, wherein the network service exposes a backend of a network application to the container orchestration platform of the SDN; and broadcast, by the network controller and to a second network cluster executing within the container orchestration platform of the SDN, the advertisement in accordance with the routing protocol.

The invention discloses a boot file transmission method and device, electronic equipment and a storage medium, and relates to the technical field of computers.The boot file transmission method comprises the steps that under the condition that a to-be-deployed node in a network cluster is in a basic system environment, the node states of other cluster nodes are obtained, and determining the number of the peer-to-peer service nodes based on the node states of the other cluster nodes, and when the number of the peer-to-peer service nodes meets the peer-to-peer service conditions, indicating that there are enough nodes in the network cluster to provide peer-to-peer uploading services. And sending each first file request to the corresponding peer-to-peer service node. In the embodiment of the invention, the to-be-deployed node can obtain the first file block fed back by the peer-to-peer service node by using the peer-to-peer service downloading mode, so that the uploading bandwidth of all the peer-to-peer service nodes in the network cluster is effectively utilized, the downloading speed of the startup file can be effectively improved, and the deployment efficiency is improved.

The present disclosure relates to computer-implemented methods, software, and systems for distributing task execution at nodes of a web service cluster. A request is sent from an interface gateway to execute a task at a first service node at a web service cluster. The first service node is one of a plurality of service nodes at the web service cluster. The first service node is selected to execute the task based on evaluating a resource status matrix defining resource statuses of the plurality of service nodes in the web service cluster and resource requirements of the task. A status response from the first service node is obtained after executing the task. The status response comprises a current resource snapshot of the first service node. The resource status matrix is updated based on the obtained status response from the first service node.

The present invention provides a method, system, device, and storage medium for pushing a logical flow table to a client. The method includes: subscribing to the north-south databases of multiple open virtual network clusters, and saving the data pushed by the north-south database subscription to a cache; in response to subscribing to the full data of all databases, obtaining the full database data and adding it to the push queue; in response to subscribing to partial fields of some databases, dynamically generating a logical table expression according to the filtering conditions, filtering the event queue data and the old and new data queue data, and adding the filtered data to the push queue; and pushing the data in the push queue to the corresponding client based on the connection protocol with the client. The present invention saves the data pushed by the north-south database subscription to a cache. When the client subscribes to the logical flow table, the system generates a logical table and a filtering expression according to the subscription conditions and pushes them to the client.

The invention provides a load control method and device of a subnet manager, a medium and electronic equipment, and relates to the technical field of computers. The load control method of the subnet manager comprises the following steps: generating load record information of the subnet manager according to CPU load information; the load record information comprises the received CPU load information of the subnet manager; the CPU load information is sent to the storage cluster node by the subnet manager; determining a target operation mode of the subnet manager according to the load record information and a preset load threshold value; and sending detection management information to the computing node according to the target operation mode, so that the computing node limits the detection operation for the subnet manager according to the detection management information. According to the method, the operation efficiency of the subnet manager of the network cluster can be improved.

The invention discloses a flow control device and method based on a request preprocessing mechanism. The device comprises a routing analysis module used for receiving a target request and analyzing the target request to obtain a routing result; wherein the routing result is used for representing a forwarding path of the target request; and the network cluster module is connected with the route analysis module, and is used for matching from a preset route set according to the route result to obtain a target route, and forwarding the target request to a target address through the target route. According to the technical scheme, refined flow control and efficient scheduling of client requests in a complex service scene or network environment can be realized.

The embodiment of the invention provides a configuration method of a network element cluster management system and related equipment, the network element cluster management system comprises a plurality of network element equipment, and the method comprises the following steps: obtaining a user configuration strategy, and obtaining at least one current configuration strategy from a data configuration table of the network cluster management system; performing configuration conflict detection based on the user configuration strategy and the current configuration strategy to obtain a conflict detection result; when the conflict detection result shows that the user configuration strategy does not conflict with all the current configuration strategies, calling a database interface, and adding the user configuration strategy into a data configuration table to serve as a new current configuration strategy; the control strategy is generated based on the user configuration strategy in the data configuration table, the configuration parameters of the control layer and / or the monitoring layer in the network element cluster management system are adjusted based on the control strategy, and the multiple network element devices are controlled and / or monitored according to the adjusted control layer and / or monitoring layer, so that the management reliability of the physical network element cluster is improved.