Algorithm for Determining the Optimal Weights for the Akushsky Core Function with an Approximate Rank
Egor M. Shiriaev, Nikolay Nikolaevich Kucherov, Mikhail Grigoryevich Babenko, Vladislav Vyacheslavovich Lutsenko, Safwat Chiad Al-Galda · Applied Sciences · 2023
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.