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Agility in working software is an aggregation of seven architecturally sensitive attributes: debuggability, extensibility, portability, scalability, securability, testability and understandability. For databases reliability, availability, scalability and recoverability (RASR), is an important concept.
This technology, or project-focused scaling takes products and services as the point of departure and wants to see those to go scale. [ clarification needed ] In the public sector , and for example in development aid , the desired impact is the point of departure and whatever leads to more impact is scaled (usually in the form of a range of ...
The scale cube is a technology model that indicates three methods (or approaches) by which technology platforms may be scaled to meet increasing levels of demand upon the system in question. The three approaches defined by the model include scaling through replication or cloning (the “X axis”), scaling through segmentation along service ...
It can also serve to investigate, measure, validate, or verify other quality attributes of the system, such as scalability, reliability, and resource usage. Performance testing is a subset of performance engineering, an emerging computer science practice which strives to build performance into the implementation, design, and architecture of a ...
Load scalability: The ability for a distributed system to expand and contract to accommodate heavier or lighter loads, including, the ease with which a system or component can be modified, added, or removed, to accommodate changing loads. Generation scalability: The ability of a system to scale by adopting new generations of components.
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."
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.
Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.