Data Storage with Increased Survivability and Reliability Based on the Residue Number System

Abstract

The paper considers the principles of building reliable data storage and processing systems in cloud-fog environment. The factors affecting the reliability and survivability of systems are an-alyzed and the main types of failures are given. The principles of introducing information re-dundancy to improve reliability, as well as corrective capabilities and error detection algorithms of RNS codes are considered. A scheme of data processing and storage in fog with increased re-liability is proposed. Monte Carlo modeling is carried out, and the results and conclusions are given, the probability distribution of failure occurrence is constructed, showing that failure probabilities obey the gamma probability distribution.