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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. Cloud engineering - Wikipedia

    en.wikipedia.org/wiki/Cloud_engineering

    Cloud engineering is a field of engineering that focuses on cloud services, such as "software as a service", "platform as a service", and "infrastructure as a service".It is a multidisciplinary method encompassing contributions from diverse areas such as systems engineering, software engineering, web engineering, performance engineering, information technology engineering, security engineering ...

  4. 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).

  5. Cloud-based design and manufacturing - Wikipedia

    en.wikipedia.org/wiki/Cloud-Based_Design_and...

    Cloud-Based Design (CBD) refers to a networked design model that leverages cloud computing, service-oriented architecture (SOA), Web 2.0 (e.g., social network sites), and semantic web technologies to support cloud-based engineering design services in distributed and collaborative environments. [4]

  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. Data center network architectures - Wikipedia

    en.wikipedia.org/wiki/Data_center_network...

    DCNs need to be scalable and efficient to connect tens or even hundreds of thousands of servers to handle the growing demands of cloud computing. [3] [4] Today's data centers are constrained by the interconnection network. [5]

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