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  2. Linux Unified Key Setup - Wikipedia

    en.wikipedia.org/wiki/Linux_Unified_Key_Setup

    This master key is encrypted with each active user key. [6] User keys are derived from passphrases, FIDO2 security keys, TPMs or smart cards. [7] [8] The multi-layer approach allows users to change their passphrase without re-encrypting the whole block device. Key slots can contain information to verify user passphrases or other types of keys.

  3. Key clustering - Wikipedia

    en.wikipedia.org/wiki/Key_clustering

    Key or hash function should avoid clustering, the mapping of two or more keys to consecutive slots. Such clustering may cause the lookup cost to skyrocket, even if the load factor is low and collisions are infrequent. The popular multiplicative hash [1] is claimed to have particularly poor clustering behaviour. [2]

  4. Comparison of cluster software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_cluster_software

    Windows, Linux, Mac OS X, Solaris Cost Apache Mesos: Apache actively developed Apache license v2.0 Linux Free Yes Moab Cluster Suite: Adaptive Computing Job Scheduler actively developed HPC Proprietary: Linux, Mac OS X, Windows, AIX, OSF/Tru-64, Solaris, HP-UX, IRIX, FreeBSD & other UNIX platforms Cost Yes NetworkComputer: Runtime Design Automation

  5. Linux-HA - Wikipedia

    en.wikipedia.org/wiki/Linux-HA

    This was cured with version 2 of the software, which added n-node clusters, resource monitoring, dependencies, and policies. Version 2.0.0 came out on 29 July 2005. [5] This release represented another important milestone as it was the first version where very large contributions (in terms of code size) were made by the Linux-HA community at large.

  6. Apache Solr - Wikipedia

    en.wikipedia.org/wiki/Apache_Solr

    Solr runs as a standalone full-text search server. It uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it usable from most popular programming languages. Solr's external configuration allows it to be tailored to many types of applications without Java coding ...

  7. Automatic clustering algorithms - Wikipedia

    en.wikipedia.org/wiki/Automatic_Clustering...

    Automatic clustering algorithms are algorithms that can perform clustering without prior knowledge of data sets. In contrast with other cluster analysis techniques, automatic clustering algorithms can determine the optimal number of clusters even in the presence of noise and outlier points. [1] [needs context]

  8. Solaris Cluster - Wikipedia

    en.wikipedia.org/wiki/Solaris_Cluster

    Solaris Cluster is an example of kernel-level clustering software. Some of the processes it runs are normal system processes on the systems it operates on, but it does have some special access to operating system or kernel functions in the host systems.

  9. Primary clustering - Wikipedia

    en.wikipedia.org/wiki/Primary_clustering

    In computer programming, primary clustering is a phenomenon that causes performance degradation in linear-probing hash tables.The phenomenon states that, as elements are added to a linear probing hash table, they have a tendency to cluster together into long runs (i.e., long contiguous regions of the hash table that contain no free slots).