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name: a string that uniquely identifies the object within the defined namespace; uid: a unique string that is able to distinguish between objects with the same name across space and time (even across deletions and recreations with the same name). May be managed by another controller, which is defined in the metadata.ownerReferences field: [76]
OpenShift's client program, "oc", offers a superset of the standard capabilities bundled in the mainline "kubectl" client program of Kubernetes. [8] Using this client, one can directly interact with the build-related resources using sub-commands (such as "new-build" or "start-build").
Within cluster and parallel computing, a cluster manager is usually backend graphical user interface (GUI) or command-line interface (CLI) software that runs on a set of cluster nodes that it manages (in some cases it runs on a different server or cluster of management servers). The cluster manager works together with a cluster management agent.
The Red Hat Cluster Suite (RHCS) includes software to create a high availability and load balancing cluster. Both can be used on the same system although this use case is unlikely. Both products, the High Availability Add-On and Load Balancer Add-On, are based on open-source community projects. Red Hat Cluster developers contribute code ...
Although a cluster may consist of just a few personal computers connected by a simple network, the cluster architecture may also be used to achieve very high levels of performance. The TOP500 organization's semiannual list of the 500 fastest supercomputers often includes many clusters, e.g. the world's fastest machine in 2011 was the K computer ...
The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]
Cluster Shared Volumes (CSV) is a feature of Failover Clustering first introduced in Windows Server 2008 R2 for use with the Hyper-V role. A Cluster Shared Volume is a shared disk containing an NTFS or ReFS (ReFS: Windows Server 2012 R2 or newer) volume that is made accessible for read and write operations by all nodes within a Windows Server Failover Cluster.
Cluster-internal labeling selects labels that only depend on the contents of the cluster of interest. No comparison is made with the other clusters. Cluster-internal labeling can use a variety of methods, such as finding terms that occur frequently in the centroid or finding the document that lies closest to the centroid.