Development of Components of a Distributed Fault-Tolerant Medical Data Storage System

Abstract

In human activities, various technologies based on a distributed approach are increasingly mastered; they are designed to ensure efficient and reliable information storage, quick data access, and the possibility of implementing parallelism when working with them. Comprehensive research aimed at optimizing the tactical, technical, and economic indicators determining the appearance and functionality of such storage systems is an urgent scientific problem. One of its parts is the need to investigate the possibilities of developing components of an effective fault-tolerant medical data storage system. This determined the article's topic relevance. This research aimed to develop new mathematical models and algorithms, based on known alternative technologies, for the basic components of a distributed storage system that can be effectively implemented. The application of these components will increase system fault tolerance using controlled redundancy. The article shows that, among the possible options for a distributed fault-tolerant data storage system structure, distributed data storage systems are most promising in ensuring efficient and reliable information storage. Moreover, this refers to such systems whose mechanism of maintaining reliability (fault tolerance) is based on the operation of the error-correcting code based on a redundant residue number system. A model of a distributed data storage system with a redundancy function is proposed. It is substantiated that the latter's functioning depends on the efficiency and practical applicability of the approaches to converting values from a positional system to a redundant one.