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Inicio  /  Applied Sciences  /  Vol: 13 Par: 18 (2023)  /  Artículo
ARTÍCULO
TITULO

Algorithm for Determining the Optimal Weights for the Akushsky Core Function with an Approximate Rank

Egor Shiriaev    
Nikolay Kucherov    
Mikhail Babenko    
Vladislav Lutsenko and Safwat Al-Galda    

Resumen

In this paper, a study is carried out related to improving the reliability and fault tolerance of Fog Computing systems. This work is a continuation of previous studies. In the past, we have developed a method of fast operation for determining the sign of a number in the Residue Number System based on the Akushsky Core Function. We managed to increase the efficiency of calculations by using the approximate rank of a number. However, this result is not final. In this paper, we consider in detail the methods and techniques of the Akushsky Core Function. During research, it was found that the so-called weights can be equal to random variables. Based on the data obtained, we have developed a method for determining the optimal weights for the Akushsky Core Function. The result obtained allows you to obtain a performance advantage due to the preliminary identification of optimal weights for each set of moduli.

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