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  2. Cloud computing architecture - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing_architecture

    Cloud computing architecture refers to the components and subcomponents required for cloud computing.These components typically consist of a front end platform (fat client, thin client, mobile), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud).

  3. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud computing abstractions aim to simplify resource management, but leaky abstractions can expose underlying complexities. These variations in abstraction quality depend on the cloud vendor, service and architecture. Mitigating leaky abstractions requires users to understand the implementation details and limitations of the cloud services ...

  4. diagrams.net - Wikipedia

    en.wikipedia.org/wiki/Diagrams.net

    In 2011, the company started publishing its hosted service for the mxGraph web application under a separate brand, Diagramly with the domain "diagram.ly". [12]After removing the remaining use of Java applets from its web app, the service rebranded as draw.io in 2012 because the ".io suffix is a lot cooler than .ly", said co-founder David Benson in a 2012 interview.

  5. Cloud Data Management Interface - Wikipedia

    en.wikipedia.org/wiki/Cloud_Data_Management...

    ISO/IEC 17826 Information technology — Cloud Data Management Interface (CDMI) Version 2.0.0 is an international standard [1] that specifies a protocol for self-provisioning, administering and managing access to data stored in cloud storage, object storage, storage area network and network attached storage systems.

  6. 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 ...

  7. 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.

  8. Software architectural model - Wikipedia

    en.wikipedia.org/wiki/Software_Architectural_Model

    This should be avoided. It is better to draw multiple diagrams, one for each viewpoint, than to draw a 'mega diagram' that is extremely rich in content. Remember this: when building houses, the architect delivers many different diagrams. Each is used differently.

  9. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform is a part [8] 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.