TECHNOLOGY FOR CONTROLLING AND RESTORING DATA INTEGRITY IN DISTRIBUTED STORAGE SYSTEMS

Abstract

The article proposes an information technology for controlling and restoring data integrity in distributed multisource storage systems, which combines formal criteria of structural, logical and semantic consistency with adaptive methods of calculating consistency and reconstructing data. The developed mathematical model provides a quantitative assessment of the level of integrity violations and determines the most reliable values in conditions of conflict or absence of information fragments. The proposed approach has been tested on a multi-source data set, demonstrating the effectiveness of the technology in detecting anomalies and forming a consistent information space. Objective. Improving data integrity in distributed multi-source storage systems by developing information technology for data control and recovery based on a formalised mathematical model. Methodology. The methodological basis of the study is mathematical modelling of data integrity assurance processes in a distributed environment, analysis of structural and logical violations, formalisation of consistency functions, and determination of optimal parameter values based on source trust weighting coefficients. The practical part is implemented in the Python environment using a prototype information technology that performs anomaly detection, consistency assessment, and data reconstruction to form a consistent set.