12 results about "Business cluster" patented technology

The invention provides a resource scheduling method and device for model service, equipment and a program product. The method comprises the following steps: receiving a creation request of a target model service, wherein the creation request comprises the number of service instances required by the target model service and a scheduling strategy of the service instances; and obtaining computing power resource information of the plurality of service clusters, wherein the computing power resource information is used for representing available computing power resources of the service clusters. And deploying all service instances required by the target model service to at least one target service cluster supported by available computing power resources according to the scheduling strategy based on the computing power resource information of the plurality of service clusters. And allocating traffic resources for accessing locally deployed service instances to each target service cluster.

The present disclosure relates to the technical field of computer, and provides a management method of monitoring cluster, a management device of monitoring cluster, a computer storage medium and an electronic device, wherein the management method of monitoring cluster comprises: receiving monitoring data of the business cluster in a preset period; the monitoring data comprises monitoring index values corresponding to a plurality of monitoring index items; predicting monitoring data prediction values of the business cluster in a future period according to the monitoring data; and dynamically adjusting scheduling configuration information of the monitoring cluster in the future period based on the monitoring data prediction values. The present disclosure can reasonably plan different monitoring index items needed to be collected in different periods, reduce resource occupation of the monitoring cluster, and reduce the pressure of the monitoring system.

The application provides a message processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: determining a tenant corresponding to a user who sends a group message; determining a first business cluster unit to which a group member belonging to the group message belongs based on the tenant and at least one unit routing rule obtained in advance; the unit routing rule represents a mapping relationship between the tenant or the group number and the business cluster unit; the business cluster unit comprises at least one service; and the group message is sent to a first service in the first business cluster unit, and the first service is used to send the group message to the group member. Since the unit routing rule represents the mapping relationship between the tenant or the group number and the business cluster unit, the group message can be automatically routed to the business cluster unit to which the group member belonging to the group message belongs through the at least one unit routing rule, cross-unit message processing of the business system and the routing logic is realized through the service in the business cluster unit, and the development efficiency is improved.

The invention relates to the technical field of crossing of legal science and technology and information technology, and discloses a law full flow digital intelligence management method and system based on multi-role collaboration, and the method comprises a digital intelligence management system which comprises a unified data platform, a micro-service business cluster, a role terminal module and an API gateway. According to the invention, by constructing a unified, associated and unified data platform and a standardized API gateway, 'information isolated island 'in a traditional law is thoroughly broken, core business data such as cases, clients, finance and personnel can be run through and shared in real time, different role terminals cooperate based on the same data source, and the data sharing efficiency is improved. According to the architecture, the response time of cross-department business collaboration is greatly shortened, and the lawyer business processing efficiency is improved by about 70%; for example, complex all-interest conflict detection can be completed within 10 seconds, and the technical problems of difficulty in cross-department collaboration and low manual retrieval efficiency caused by data islands in a traditional mode are effectively solved.

The application discloses a cloud-native environment-oriented post-permeation attack traction method and system, and the steps thereof comprise: 1) taking the system call behavior of each attack method in a Kubernetes business cluster in a cloud-native environment as a sensitive behavior to obtain a sensitive behavior list; 2) running a target business cluster in a local area network isolated from the outside world and executing each sensitive behavior in the sensitive behavior list to construct a sensitive behavior baseline corresponding to the sensitive behavior and obtain a sensitive behavior baseline list; 3) desensitizing and cloning the target business cluster to obtain a honeynet cluster; 4) deploying the target business cluster and the honeynet cluster on a public network and providing services to the outside world, monitoring and recording the system call behavior in the target business cluster, and regarding a sensitive behavior i and a call chain thereof as normal business operation when the sensitive behavior i and the call chain thereof conform to the sensitive behavior baseline; otherwise, the sensitive behavior i is determined as a malicious behavior; and 5) leading an attacker of the malicious behavior to the honeynet cluster.

The invention provides a fault repairing method and device of a service system, electronic equipment, a storage medium and a program product. The method comprises the following steps: performing fault detection on each service cluster to obtain a cluster fault detection result of each service cluster; determining the service cluster with the fault indicated by the cluster fault detection result as a fault service cluster; detecting service nodes in each fault service cluster to obtain fault service nodes in each fault service cluster; and determining a fault repair mode of the service system from a plurality of preset fault repair modes based on the faulty service nodes in the faulty service cluster and the number of the faulty service clusters, and performing fault repair on the service system based on the fault repair mode. According to the invention, the fault repair efficiency of the service system can be effectively improved.

The embodiment of the invention provides a cluster management method and computing equipment, the method is applied to the computing equipment, and the method comprises the following steps: acquiring a resource change event of a service cluster; determining an algorithm model corresponding to the resource change event and a plurality of processing flows corresponding to the resource change event; operation data of the service cluster are obtained, the operation data comprise cluster data and / or resource data, the cluster data are data generated by the service cluster in a computing device where the service cluster operates, the resource data are data generated by the service cluster in a management platform, and the management platform is used for managing the service cluster; determining input data of an algorithm model based on the operation data and the plurality of processing flows, and determining a target processing flow in the plurality of processing flows based on the algorithm model and the input data; and processing the resource change event through the target processing flow. According to the cluster management method, the accuracy of determining the target processing flow is improved, and the reliability of resource change event processing is improved.

This invention discloses a method for addressing storage pressure on Hive metadata management nodes, comprising: parsing an interface request based on a business query request, including the data center number and query time, to obtain query conditions and verify the validity of the parameters; querying memory based on the data center number to obtain a cluster list; obtaining a target cluster list based on the query time and the cluster list; reading the business cluster information of the target cluster list from memory; determining that the query time is within a fixed time partition, assembling parameters for the Impala dynamic data source table query input, calling the local dynamic data source interface to operate Impala, first performing a refresh operation on the current table, and then performing a table query to obtain the query result and encapsulate and return the query result. This invention saves memory resources occupied by Hive and Impala metadata and improves the response speed of Impala synchronizing Hive metadata.

This invention discloses a method and system for passwordless data transmission across cluster containers based on centralized management. The method is executed on a stateless SSH proxy server in the target business cluster and includes: intercepting a passwordless connection request sent by a source client to the target business cluster from a source container instance in the source business cluster, based on the source client's private key; requesting authentication of the passwordless connection request from the central management cluster; if authentication is successful, requesting the container orchestration configuration file of the target business cluster from the central management cluster; dynamically creating a temporary visitor container in the target business cluster and mounting the corresponding target data volume according to the container orchestration configuration file, so that the source container instance can read and write data from the target data volume mounted on the temporary visitor container; and destroying the temporary visitor container and releasing the target data volume in response to a passwordless connection termination request from the source container instance. This invention achieves physical isolation and access security for cross-cluster container data transmission.

The application provides a kind of identification method and device for commercial aggregation area, comprising obtaining the scene data, performance data, MDT data and work parameter data of the area to be identified after preprocessing, inputting the scene data, performance data, MDT data and work parameter data into target decision tree model to obtain predicted scene data, predicted performance data, predicted MDT data and predicted work parameter data with data label as commercial nature;Based on predicted work parameter data, the predicted scene data is supplemented with scene missing data to obtain target scene data;The comprehensive total score data is obtained by scoring calculation on predicted performance data and predicted MDT data;The density clustering grouping result is obtained by density clustering grouping on target scene data and comprehensive total score data, and the commercial aggregation area is identified from the area to be identified according to the density clustering grouping result, so that the identification result is more convincing, and the identified commercial aggregation area is more accurate through comprehensive scoring combined with scene data.

The invention discloses a dynamic task scheduling method, system and device and a medium, and belongs to the technical field of data processing.The method comprises the steps that online and offline events of service nodes are registered, and a storage cluster hash table is updated; carrying out competitive selection on the plurality of service nodes through the atomization script to obtain a first service node; traversing the storage cluster hash table according to a second interval preset time through the first service node, and detecting the latest state of each service node according to a heartbeat maintenance strategy; in response to a change event of any service node in the service cluster, updating service node fragmentation parameters through a cluster task rebalance process and a modulo fragmentation strategy; and performing dynamic task scheduling on the affected service nodes according to the updated service node fragment parameters. According to the method, the data is filtered by directly using the modulo fragmentation strategy in the SQL query of the database, and the divisor is automatically adjusted when the number of the nodes changes, so that the allocation throughput is improved by 5-10 times, and the memory calculation overhead is eliminated.

The application discloses a kind of financial service configuration method, equipment, medium and product.It relates to the field of financial service configuration, and can be applied to the field of financial technology, method includes: obtaining the attribute information of financial service;Attribute information includes at least one quantitative attribute or qualitative attribute;According to the attribute information of financial service, query financial service vector mapping table, obtain the rank vector corresponding to financial service;Financial service vector mapping table includes the rank vector corresponding to the orderable quantitative attribute or qualitative attribute under each financial service;For rank vector, using first-order clustering algorithm carries out coarse clustering, obtains coarse-grained business cluster;For coarse-grained business cluster, using second-order clustering algorithm carries out fine-grained clustering, obtains fine-grained business cluster;According to coarse-grained business cluster and fine-grained business cluster, generate business configuration strategy, and based on business configuration strategy, each financial service is carried out configuration.Through the technical scheme of the application, the dynamic optimal configuration of bank service can be realized.