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At about the same time, cloud computing has also emerged as a computational paradigm for on-demand network access to a shared pool of computing resources (e.g., network, servers, storage, applications, and services) that can be rapidly provisioned with minimal management effort [7].
In recent years, cloud computing has emerged as a computational paradigm that can be used to meet the continuously growing storage and processing requirements of today's applications.
To solve these problems, Cisco proposed a new computational paradigm, termed as fog computing, that puts a substantial amount of storage, communication, control, configuration, measurement, and management at the edge of a network, rather than establishing channels for the centralized cloud storage and utilization, which extends the traditional cloud computing paradigm to the network edge [8, 9].
Evolutionary computation is emerging as a new engineering computational paradigm, which may significantly change the present structural design practice.
Thus, the algorithm is ascribed to the field of memetic computation [7, 23] which has recently emerged as a successful computational paradigm inspired by Darwinian principles of natural selection as well as Dawkins' notion of a meme as the basic unit of cultural transmission [11].
This is one of the drawbacks of the computational paradigm used by this platform.
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Cloud computing offers new computational paradigms to not only deal with data and analyses at scale but also reduce the building and operation costs.
Another aspect of these computational paradigms that have been lumped under the broad subject category of soft computing, is the domain of artificial intelligence, knowledge-based expert systems, and machine learning.
That implies a demand for wholly new sets of skills and educational backgrounds.Such changes are not unlike those that affected physics and chemistry during the 1940s, when new computational paradigms created the foundations for nuclear energy and the age of plastics.
These circuits embody two new and revolutionary computational paradigms: Complementary Computing and Laminar Computing.
The performance of many computational paradigms can be considerably improved by using appropriate quadrant-recursive spatial orders.
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