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  2. Borg (cluster manager) - Wikipedia

    en.wikipedia.org/wiki/Borg_(cluster_manager)

    Borg is a cluster manager used by Google since 2008 or earlier. [ 1 ] [ 2 ] It led to widespread use of similar approaches, such as Docker and Kubernetes . [ 3 ]

  3. Google data centers - Wikipedia

    en.wikipedia.org/wiki/Google_data_centers

    Google data centers are the large data center facilities Google uses to provide their services, which combine large drives, computer nodes organized in aisles of racks, internal and external networking, environmental controls (mainly cooling and humidification control), and operations software (especially as concerns load balancing and fault tolerance).

  4. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform is a part [7] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.

  5. Distributed file system for cloud - Wikipedia

    en.wikipedia.org/wiki/Distributed_file_system...

    Modern data centers must support large, heterogenous environments, consisting of large numbers of computers of varying capacities. Cloud computing coordinates the operation of all such systems, with techniques such as data center networking (DCN), the MapReduce framework, which supports data-intensive computing applications in parallel and distributed systems, and virtualization techniques ...

  6. Computer cluster - Wikipedia

    en.wikipedia.org/wiki/Computer_cluster

    A computer cluster may be a simple two-node system which just connects two personal computers, or may be a very fast supercomputer. A basic approach to building a cluster is that of a Beowulf cluster which may be built with a few personal computers to produce a cost-effective alternative to traditional high-performance computing.

  7. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]

  8. Cluster manager - Wikipedia

    en.wikipedia.org/wiki/Cluster_manager

    These agents run on each node of the cluster to manage and configure services, a set of services, or to manage and configure the complete cluster server itself (see supercomputing.) In some cases the cluster manager is mostly used to dispatch work for the cluster (or cloud) to perform. In this last case a subset of the cluster manager can be a ...

  9. Kubernetes - Wikipedia

    en.wikipedia.org/wiki/Kubernetes

    Google worked with the Linux Foundation to form the Cloud Native Computing Foundation (CNCF) [19] and offered Kubernetes as the seed technology. Google was already offering a managed Kubernetes service, GKE , and Red Hat was supporting Kubernetes as part of OpenShift since the inception of the Kubernetes project in 2014. [ 20 ]