Why are Scalability and generalisability important in resesarc?
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Scalability and generalizability are important in research because they contribute to the understanding and engineering of efficient systems. Scalability refers to the ability of a system to increase its performance as the system size increases. It is crucial for efficient engineered systems as it allows for improved performance with increasing system size. Generalizability, on the other hand, refers to the ability of a model or approach to be applicable to a wide range of scenarios or applications. It is important in research as it allows for the development of approaches that can be applied to different systems or domains. Both scalability and generalizability are key factors in designing and analyzing systems, such as parallel supercomputers, robot swarms, wireless sensor networks, and video surveillance architectures.
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Open access 01 Jan 2020 | Scalability and generalizability are important in research because they allow for the efficient and effective parallelization and distribution of irregular applications, particularly in the context of data-driven and data-intensive applications. |
| The provided paper does not explicitly discuss the importance of scalability and generalizability in research. | |
07 Jun 2005 15 Citations | The provided paper does not discuss the importance of scalability and generalizability in research. |
| The provided paper does not explicitly discuss the importance of scalability and generalizability in research. |
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