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  2. Kubernetes - Wikipedia

    en.wikipedia.org/wiki/Kubernetes

    The scheduler is an extensible component that selects the node that an unscheduled pod (the basic unit of workloads to be scheduled) runs, based on resource availability and other constraints. The scheduler tracks resource allocation on each node to ensure that workload is not scheduled in excess of available resources.

  3. Orchestration (computing) - Wikipedia

    en.wikipedia.org/wiki/Orchestration_(computing)

    In system administration, orchestration is the automated configuration, coordination, [1] deployment, development, and management of computer systems and software. [2] Many tools exist to automate server configuration and management.

  4. Comparison of cluster software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_cluster_software

    Job Scheduler actively developed Master node with failover/exec clients, multiple admin/submit nodes, Suite addOns HPC/HTC Proprietary: Unix, Linux, Windows: Cost and Academic - model - Academic, Express, Standard, Advanced and Suites Yes Oracle Grid Engine | Oracle Grid Engine (Sun Grid Engine, SGE) Altair Job Scheduler

  5. cgroups - Wikipedia

    en.wikipedia.org/wiki/Cgroups

    Through the "rules engine daemon" that can automatically move processes of certain users, groups, or commands to cgroups as specified in its configuration. Indirectly through other software that uses cgroups, such as Docker, Firejail, LXC, [19] libvirt, systemd, Open Grid Scheduler/Grid Engine, [20] and Google's developmentally defunct lmctfy.

  6. OpenNebula - Wikipedia

    en.wikipedia.org/wiki/OpenNebula

    OpenNebula is an open source cloud computing platform for managing heterogeneous data center, public cloud and edge computing infrastructure resources. OpenNebula manages on-premises and remote virtual infrastructure to build private, public, or hybrid implementations of infrastructure as a service (IaaS) and multi-tenant Kubernetes deployments.

  7. Apache Airflow - Wikipedia

    en.wikipedia.org/wiki/Apache_Airflow

    DAGs can be run either on a defined schedule (e.g. hourly or daily) or based on external event triggers (e.g. a file appearing in Hive [5]). Previous DAG-based schedulers like Oozie and Azkaban tended to rely on multiple configuration files and file system trees to create a DAG, whereas in Airflow, DAGs can often be written in one Python file. [6]

  8. OpenSAF - Wikipedia

    en.wikipedia.org/wiki/Opensaf

    The OpenSAF System Model is the key enabler API, allowing OpenSAF to process and validate requests, and update the state of objects in the AMF model, allowing directors to schedule workloads and service groups across worker/payload nodes. AMF behavior is changed via a configuration object. [24]

  9. VoltDB - Wikipedia

    en.wikipedia.org/wiki/VoltDB

    Schedule Tasks has an easy to use interface for calling pre-defined procedures and can also be fully customized in Java to create more complex schedules. V10.0 [20] (August, 2020) introduced a Volt Operator for Kubernetes and Helm Charts offering a complete solution for running VoltDB databases in a Kubernetes cloud environment. In addition V10 ...