3 results about "Cluster type" patented technology

The invention provides a Docker Registry management optimization mode. The Docker Registry management optimization mode comprises the steps that based on Docker Registry management requirements, a Docker Registry native management mode corresponding to the management requirements is determined; based on the management requirements, a corresponding optimization management mode is determined; optimization is conducted on the native management mode through the optimization management mode, and corresponding Docker Registry management operation is conducted through an optimized operational order. According to the embodiment, the problems that the native Docker Registry control operational mode is unfriendly, management operation is complex, and the network operation and maintenance cost is too high are solved. For example, storage catalogs of mirrored documents are changed to cluster-type share mirrored storage equipment from a local storage area, namely, single-machine mirrored storage is changed to cluster-type mirrored storage, and on the condition of large-scale cluster-type machinery equipment, the mirrored document maintenance cost can be greatly lowered. For another example, by means of the mode that multiple Registry service operation is simplified, the operating difficulty of Docker Registry management is lowered, and the network maintenance operational experience is improved.

The application relates to a cluster type safety computer platform, which is centrally deployed, can realize centralized maintenance and is favorable for improving system availability. The safety computer platform is deployed on a track side and does not need to bear the severe working environment of a vehicle-mounted device, is high in reliability and can adopt high-performance hardware, thus being favorable for realizing more intelligent functions. The safety computer units in the safety computer platform communicate based on a wired network, and compared with the wireless communication between a vehicle-mounted safety computer platform and a track-side safety computer platform in a traditional train control system, the wired communication is better in reliability. A master and standby database cluster is introduced, the statelessness of safety applications can be realized, data synchronization during master and standby switching of the safety applications is avoided, the switching speed is accelerated, and the consistency of data during the master and standby switching process is ensured. The large-scale safety computer cluster platform is realized, and the problems existing in real-time performance and determination of virtualization on the safety computer platform do not need to be faced.

This invention provides a cluster type identification method, apparatus, electronic device, and storage medium. The method obtains the test features of the cluster to be tested. Since the test features include at least the importance parameters corresponding to each member of the cluster in each preset behavioral parameter category, the test features can characterize the behavioral characteristics between members in the cluster and the importance of each member in each preset behavioral parameter category within the cluster. Because the cluster type prediction model is obtained by training a neural network, it can obtain the cluster structure of the cluster to be tested from multiple angles and dimensions based on the test features. Furthermore, since the training objective of the cluster type prediction model is to minimize the length of the true vector and the difference vector, the cluster type prediction model can accurately predict the probability that the cluster to be tested belongs to any known cluster category.