33 results about "Web cluster" patented technology

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 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.

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 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 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.

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.

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 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.

The embodiments of the present application propose a transmission optimization method and related equipment for a network cluster system. The network cluster system includes multiple network clusters, and the network cluster includes multiple network nodes. The method includes: first, obtaining the link status of the communication link between each two network nodes, and obtaining a link connection matrix, which is used to characterize the connection status of each communication link; then, obtaining a network cluster scheduling model, inputting all link statuses and link connection matrices into the network cluster scheduling model, and obtaining an output link optimized transmission rate sequence and optimized traffic distribution ratio for each network cluster; finally, adjusting the transmission rate of each communication link in the corresponding network cluster according to each link optimized transmission rate sequence, and adjusting the traffic distribution of the corresponding network cluster according to each optimized traffic distribution ratio. When information is transmitted between network nodes in the network cluster system, the transmission resource utilization rate can be effectively improved.

This application discloses a cloud-native network resource allocation method, apparatus, device, and storage medium, relating to the field of resource management technology, and applied to a network twin service for cloud-native network clusters. The method includes: constructing a topology graph representing the dependencies between microservices using instance information of each microservice in the cloud-native network cluster; evaluating the resource usage of each microservice based on preset business experience service metrics and real-time user experience data, combined with the topology graph; the preset business experience service metrics are performance indicators generated based on historical user experience data of each microservice, and the real-time user experience data are user experience data of each microservice in real time; and performing resource allocation operations on each microservice according to the corresponding evaluation results. This combines network twin technology with cloud-native network clusters, allocating resources to each microservice with a user experience-oriented approach, which can accurately optimize resource allocation to improve user experience and resource utilization efficiency.

In one embodiment, a method includes generating, by a pod deployment tool, a security context profile, associating, by the pod deployment tool, the security context profile with a deployment rule, and associating, by the pod deployment tool, a vulnerability level with the deployment rule. The method also includes identifying, by the pod deployment tool, pod policies associated with a pod located within a cluster of a network and analyzing, by the pod deployment tool, conditions of the deployment rule using the pod policies. The conditions may be associated with the security context profile and the vulnerability level. The method further includes determining, by the pod deployment tool, whether to allow deployment of the pod within the network in response to analyzing the conditions of the deployment rule.

The invention provides an RU information acquisition method and a container scheduling method and device based on RU information. The RU information acquisition method comprises the steps that first equipment acquires information of RU equipment managed by schedulable nodes in a network cluster; and the first device sends the information of the RU device to a second device, so as to determine a target scheduling node in the schedulable nodes. Therefore, the capability of the existing second equipment is enhanced, the collection of the RU information is supplemented, and the node selection is performed on the to-be-scheduled container based on the collected RU information of the schedulable node, so that the condition that the to-be-scheduled container, especially the to-be-scheduled container of a high-real-time task, is scheduled to the node which does not meet the RU requirement of the to-be-scheduled container is avoided, and the scheduling efficiency of the to-be-scheduled container is improved. Compared with the prior art, the method can be better applied to container scheduling in a high-real-time RU demand scene, not only can proper nodes be more accurately selected for container scheduling, but also the overall reliability of the network, the user experience and the resource utilization efficiency can be improved.

A method is disclosed for network agility traffic steering at a centralized management entity in a network system, the method comprising: receiving load management information from a plurality of cells within a network cluster; evaluating the load management information to determine resource allocation for the plurality of cells within the network cluster; generating traffic steering instructions based on the evaluation; transmitting the traffic steering instructions to the cells within the network cluster to dynamically adjust resource allocation and network performance; and enabling clustering of cells through containerized microservices coordinated using Kubernetes, allowing for flexible and scalable deployment of network functions.

The application discloses a kind of open virtual network cluster test method, device, equipment and medium, it is related to cloud computing technology field, the method includes: in the north of open virtual network cluster Database configuration pressure model logic network, and the port in pressure model logic network is bound with the computing node in open virtual network cluster, completes to open virtual network cluster and pressurizes configuration;In the process of pressurized configuration, control node and computing node in open virtual network cluster are monitored, and the health degree information of cluster and the computing node monitoring information corresponding to computing node are acquired;The application can realize the automatic balanced pressurization of large-scale business data, so as to be able to show the health degree, performance and stability of large-scale OVN cluster under the stress of large-scale business data by monitoring control node and computing node in OVN cluster, facilitate subsequent performance bottleneck positioning analysis and tuning, save development and test cost.

The invention relates to the technical field of automobile electronic network management, in particular to a partial network cluster fault isolation and recovery mechanism conforming to the AUTOSAR standard. Through PNC fault detection, isolation and self-healing recovery steps, PNC-level fault rapid detection, intelligent isolation and automatic recovery are realized. In the detection stage, the state is monitored through an NM-PDU containing a PNI / PNSR bit, and a fault is judged in a multi-condition mode; in the isolation stage, a fault PNC is marked by a coordination node, an isolation message is sent by adopting a time-sharing grading strategy, and a process is synchronously closed; in the recovery stage, instantaneous, continuous and hardware-level faults are adapted respectively through a three-level progressive mechanism. According to the method, the limitation of traditional whole network management is broken through, PNC-level accurate fault control is realized, fault diffusion is avoided, the recovery efficiency and robustness are improved, the AUTOSAR standard is followed, parameters can be flexibly configured, multiple types of vehicle network scenes are adapted, and stable operation of the system is guaranteed.

The application provides a kind of computing power network cluster dynamic construction method based on constraint condition, the method includes: the information of registered computing power node and extract the computing task characteristics in task demand;According to the computing task characteristics, the ability of computing power node is evaluated, wherein the ability evaluation is obtained according to the characteristic function of computing task;The computing power node as task initiation node is as root node, and the next computing power node is evaluated and selected based on the reachable routing path of routing table and the constraint condition, wherein the evaluation value of branch computing power node is obtained by evaluation function according to the ability of evaluation node through the ability evaluation Vi;The evaluation value search fitting of branch computing power node that can be routed is carried out by level by level, and the best computing power multistage collaborative computing power node cluster for the computing task is obtained.The application also provides a kind of computing power network cluster dynamic construction system based on constraint condition.

The application discloses a data synchronization method of a heterogeneous database platform, and comprises the following steps: step one, frame data is acquired from the heterogeneous database platform according to the same data structure, and the frame data needing to be updated is identified, and the identified frame data is data to be synchronized; step two, the network cluster inside a platform where the current service is located is listened to, real-time deployment identification of a data plane agent is acquired from the network cluster, and the data range to be synchronized is calculated according to the implementation deployment identification; step three, a plurality of logical modules perform logical operation on the identified data range to be synchronized; the data synchronization method of the heterogeneous database platform avoids multiple synchronization of modified data between the client and the server through steps of acquiring synchronization data, setting a synchronization range, generating a data list, confirming the synchronization range, generating a synchronization command and the like, and improves the data synchronization efficiency of the heterogeneous database platform.

The present application discloses a computing node decision method, apparatus, device and computer-readable storage medium, including: obtaining operating load parameters, edge network bandwidth and cloud network bandwidth when at least two network base stations provide wireless network coverage for a vehicle; determining the edge link load score of each edge server and the cloud link load score of the cloud server when each operating load parameter is greater than or equal to a first load threshold parameter and at least one operating load parameter is less than or equal to a second load threshold parameter; determining the server corresponding to the maximum value of all edge link load scores and cloud link load scores in the network cluster as the target server; establishing a computing power connection between the vehicle and the target server to assist the vehicle in computing power calculation through the target server. This solves the problem of unbalanced load on edge servers.

The application 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: a central distributed wireless network cluster model comprising a central service node, a policy control node and an edge node is established; the central service node generates node overview state information in response to receiving local state information transmitted by the edge node in the corresponding task area; the policy control node establishes a connection with the edge node to obtain detailed state information in response to receiving the node overview state information from the central service node; the policy control node determines policy decision information according to the detailed state information and performs policy distribution to the edge node and / or the policy control node in the corresponding area; when there are multiple task areas, 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 application has good real-time performance, weak scene dependence and strong universality.

A method includes executing replicated virtual machines on multiple computing nodes within a cluster in a distributed computing network. Each virtual machine includes an application, and the application includes bytecode. The method also includes sequentially recording, in a replicated transaction log, transactions of the virtual machines and one or more upgrades to the bytecode. The method further includes generating, for each computing node, one or more snapshots and truncating the transaction log. Each snapshot captures an application state and the bytecode of the associated virtual machine. In addition, the method includes, in response to restoration of at least one computing node in the cluster or an addition of at least one additional computing node to the cluster, restoring one or more virtual machines to a current application state of one or more other virtual machines using the transaction log and at least one of the one or more snapshots.

Techniques are disclosed for a computing system comprising processing circuitry having access to a storage device, the processing circuitry configured to encode, by a network controller executing in a software defined network (SDN), one or more attributes with information identifying a network service, wherein the one or more attributes conform to a routing protocol. The processing circuitry is also configured to generate, by the network controller, an advertisement in a first network cluster executing within a container orchestration platform of the SDN, wherein the advertisement conforms to the routing protocol and includes the one or more attributes. The processing circuitry is also configured to 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 disclosure relates to a method and a system for automatically upgrading a target network cluster The method comprises accessing, by a processing unit [302], a first container from a first set of containers associated with one or more network clusters. The method comprises initiating an upgrade procedure associated with the first container. The method comprises generating, by a generation unit [304], a modified set of container data in the first container based on the initiated upgrade procedure. The method comprises duplicating at the first container, the modified set of container data from the first container. The method comprises identifying, by an identification unit [306], the target network cluster from the one or more network clusters based on the upgrade procedure. The method comprises automatically upgrading the target network cluster by applying the duplicated modified container data to a second set of containers associated with the target network cluster.