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  2. List of cluster management software - Wikipedia

    en.wikipedia.org/wiki/List_of_cluster_management...

    ClusterVisor, [2] from Advanced Clustering Technologies [3] CycleCloud, from Cycle Computing acquired By Microsoft; Komodor, Enterprise Kubernetes Management Platform; Dell/EMC - Remote Cluster Manager (RCM) DxEnterprise, [4] from DH2i [5] Evidian SafeKit; HPE Performance Cluster Manager - HPCM, from Hewlett Packard Enterprise Company; IBM ...

  3. DBSCAN - Wikipedia

    en.wikipedia.org/wiki/DBSCAN

    DBSCAN is also used as part of subspace clustering algorithms like PreDeCon and SUBCLU. HDBSCAN* [ 6 ] [ 7 ] is a hierarchical version of DBSCAN which is also faster than OPTICS, from which a flat partition consisting of the most prominent clusters can be extracted from the hierarchy.

  4. Comparison of cluster software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_cluster_software

    The following tables compare general and technical information for notable computer cluster software. This software can be grossly separated in four categories: Job scheduler, nodes management, nodes installation and integrated stack (all the above).

  5. Apache Mesos - Wikipedia

    en.wikipedia.org/wiki/Apache_Mesos

    Apache Aurora is a Mesos framework for both long-running services and cron jobs, originally developed by Twitter starting in 2010 and open sourced in late 2013. [12] It can scale to tens of thousands of servers, and holds many similarities to Borg [13] [14] including its rich domain-specific language (DSL) for configuring services.

  6. Clustering high-dimensional data - Wikipedia

    en.wikipedia.org/wiki/Clustering_high...

    Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions.Such high-dimensional spaces of data are often encountered in areas such as medicine, where DNA microarray technology can produce many measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions ...

  7. HPCC - Wikipedia

    en.wikipedia.org/wiki/HPCC

    HPCC (High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform developed by LexisNexis Risk Solutions. The HPCC platform incorporates a software architecture implemented on commodity computing clusters to provide high-performance, data-parallel processing ...

  8. Open Source Cluster Application Resources - Wikipedia

    en.wikipedia.org/wiki/Open_Source_Cluster...

    Open Source Cluster Application Resources (OSCAR) is a Linux-based software installation for high-performance cluster computing. OSCAR allows users to install a Beowulf type high performance computing cluster.

  9. Pacemaker (software) - Wikipedia

    en.wikipedia.org/wiki/Pacemaker_(software)

    Pacemaker is an open-source high availability resource manager software used on computer clusters since 2004. Until about 2007, it was part of the Linux-HA project, then was split out to be its own project. [3] It implements several APIs for controlling resources, but its preferred API for this purpose is the Open Cluster Framework resource ...