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  2. 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 ]

  3. 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.

  4. Open Commons Consortium - Wikipedia

    en.wikipedia.org/wiki/Open_Commons_Consortium

    The Open Cloud Testbed - This working group manages and operates the Open Cloud Testbed. The Open Cloud Testbed (OCT) is a geographically distributed cloud testbed spanning four data centers and connected with 10G and 100G network connections. The OCT is used to develop new cloud computing software and infrastructure.

  5. Cloud storage - Wikipedia

    en.wikipedia.org/wiki/Cloud_storage

    Cloud storage is a model of computer data storage in which data, said to be on "the cloud", is stored remotely in logical pools and is accessible to users over a network, typically the Internet. The physical storage spans multiple servers (sometimes in multiple locations), and the physical environment is typically owned and managed by a cloud ...

  6. Google App Engine - Wikipedia

    en.wikipedia.org/wiki/Google_App_Engine

    Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting web applications.Applications are sandboxed and run across multiple Google-managed servers. [2]

  7. Data-intensive computing - Wikipedia

    en.wikipedia.org/wiki/Data-intensive_computing

    Data-intensive computing systems utilize a machine-independent approach in which applications are expressed in terms of high-level operations on data, and the runtime system transparently controls the scheduling, execution, load balancing, communications, and movement of programs and data across the distributed computing cluster. [20]

  8. Google File System - Wikipedia

    en.wikipedia.org/wiki/Google_File_System

    Google File System (GFS or GoogleFS, not to be confused with the GFS Linux file system) is a proprietary distributed file system developed by Google to provide efficient, reliable access to data using large clusters of commodity hardware.

  9. Nimbus (cloud computing) - Wikipedia

    en.wikipedia.org/wiki/Nimbus_(cloud_computing)

    Cloud computing: License: Apache License version 2: Website: www.nimbusproject.org: Nimbus is a toolkit that, once installed on a cluster, provides an infrastructure ...