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  2. Scaling of innovations - Wikipedia

    en.wikipedia.org/wiki/Scaling_of_innovations

    Scaling is regarded the last step after the discovery, proof of concept and piloting of an innovation. In business it is often used as maximizing operational scale of the product. [1] This technology, or project-focused scaling takes products and services as the point of departure and wants to see those to go scale.

  3. Scalability - Wikipedia

    en.wikipedia.org/wiki/Scalability

    One definition for software systems specifies that this may be done by adding resources to the system. [1] In an economic context, a scalable business model implies that a company can increase sales given increased resources. For example, a package delivery system is scalable because more packages can be delivered by adding more delivery vehicles.

  4. Hyperscale computing - Wikipedia

    en.wikipedia.org/wiki/Hyperscale_computing

    In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. This typically involves the ability to seamlessly provide and add compute, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment.

  5. Scalability testing - Wikipedia

    en.wikipedia.org/wiki/Scalability_testing

    Vertical scaling, also known as scaling up, is the process of replacing a component with a device that is generally more powerful or improved. For example, replacing a processor with a faster one. Horizontal scaling, also known as scaling out is setting up another server for example to run in parallel with the original so they share the ...

  6. Economies of scale - Wikipedia

    en.wikipedia.org/wiki/Economies_of_scale

    For example, if there are increasing returns to scale in some range of output levels, but the firm is so big in one or more input markets that increasing its purchases of an input drives up the input's per-unit cost, then the firm could have diseconomies of scale in that range of output levels.

  7. Database scalability - Wikipedia

    en.wikipedia.org/wiki/Database_scalability

    Database scalability is the ability of a database to handle changing demands by adding/removing resources. Databases use a host of techniques to cope. [1] According to Marc Brooker: "a system is scalable in the range where marginal cost of additional workload is nearly constant."

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  9. Returns to scale - Wikipedia

    en.wikipedia.org/wiki/Returns_to_scale

    In other words, returns to scale analysis is a long-term theory because a company can only change the scale of production in the long run by changing factors of production, such as building new facilities, investing in new machinery, or improving technology. There are three possible types of returns to scale: