4 results about "Multi cluster" patented technology

The invention discloses a partially distinguishable multi-cluster target tracking method and device, and the method comprises the steps: calculating a position prediction value of a contour point n of a cluster target i at a moment k, obtaining a difference value of a jth echo calculation sum at the moment k, and judging whether a limiting condition of a wave gate is satisfied or not according to the difference value; when the limiting condition is met, establishing an association relationship with the nth contour point of the cluster target i; constructing a global incidence matrix at the moment k according to the incidence relation; elements in the global incidence matrix serve as variable nodes in a factor graph, edge posteriori distribution of the elements in the global incidence matrix is solved through the factor graph, and pseudo measurement of the cluster target i is calculated according to the edge posteriori distribution; performing Kalman filtering based on the pseudo measurement of the cluster target i to update the state of the cluster target; according to the invention, the correlation precision between the cluster target and the echo is improved, so that the detection precision is improved.

This application provides a multi-cluster system, an autoscaling method therefor, a computing device cluster, a medium, and a computer program product. The multi-cluster system includes: a plurality of clusters in which an application is deployed, where a plurality of instances of the application are distributed in the plurality of clusters, each cluster includes a native scaling module, and the native scaling module is configured to increase or decrease a quantity of instances in the cluster to implement single-cluster instance autoscaling; and a management apparatus, configured to manage the plurality of clusters. The management apparatus includes: a status detection module, configured to detect statuses of the plurality of clusters; a scaling configuration management module, configured to manage native scaling configurations of the plurality of clusters; and a scaling execution module, configured to: when the status detection module detects that single-cluster instance autoscaling cannot be implemented, perform cross-cluster instance autoscaling. According to this application, single-cluster autoscaling and cross-cluster autoscaling can be implemented, migration costs can be reduced, large-scale reconstruction of an existing system can be avoided, and compatibility can be implemented.

The application discloses a kind of multi-cluster hot debugging methods based on Service Mesh, belong to cloud native software development technical field.The unified, logical isolated debugging session and virtual network environment of multiple target Kubernetes clusters are established for developer terminal by the intelligent routing gateway of multiple clusters by a debugging instruction;Local port is dynamically allocated for debugging task from global resource pool by the gateway, and target cluster is instructed to create proxy Pod;Gateway serves as the central node, performs cross-cluster routing conflict detection, and generates globally consistent dynamic routing rules and issues to target cluster;Finally, online traffic matching rules is forwarded to the specified port of developer's local machine via proxy Pod and gateway.Through the centralized intelligent coordination architecture, various conflicts under the multi-cluster environment are fundamentally avoided, and the debugging efficiency, stability and automation level are significantly improved.