The Development of Probabilistic Algorithm of Monitoring a Result Correctness for Cloud Computing in Residue Number System

Chervyakov Nikolai Ivanovich, Nazarov Anton Sergeevich, Babenko Mikhail Grigor'evich, Garianina Anastasiia Igorevna, Abhishek Vaish
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Abstract

In the paper the probabilistic algorithm of monitoring a result correctness based on the use of a modified approximate method. The results of modeling show that the offered algorithm score 13% against classical algorithms of error correction constructed on the base of Chinese Remainder Theorem (CRT), based on approximate method on average 10 % and on the base of Mixed Radix Conversion (MRC) on average 19%.
余数系统中云计算结果正确性监测的概率算法发展
本文提出了一种基于改进近似法的监测结果正确性的概率算法。建模结果表明,与基于中国剩余定理(CRT)的经典纠错算法、基于近似法的纠错算法和基于混合基数转换(MRC)的纠错算法相比,本文算法的平均纠错率分别为13%、10%和19%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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