MODELS OF BLOCKCHAIN TECHNOLOGIES APPLICATION IN HIGH-LOAD COMPUTER SYSTEMS FOR DISTRIBUTED DATA STORAGE AND PROCESSING

DOI 10.31673/2412-4338.2025.025697

Abstract

This study presents a comprehensive analysis of the application of blockchain technologies in high-load computing systems for distributed data storage and processing. Particular attention is paid to evaluating architectural approaches for integrating blockchain into modern distributed computing environments, including the use of smart contracts, consensus mechanisms, and hybrid storage models. The study highlights the key advantages of blockchain infrastructure, such as decentralization, data integrity assurance, enhanced security, and transaction transparency.
The research provides an in-depth review of contemporary blockchain-based distributed storage solutions, including IPFS (InterPlanetary File System), Filecoin, and Storj, along with their adaptation to corporate and cloud platforms. A special focus is placed on the challenges of blockchain scalability, transaction throughput, and efficient utilization of computational and energy resources, which are crucial for its implementation in high-load systems. Additionally, the study explores the impact of blockchain adoption on overall system performance and potential trade-offs between security, efficiency, and resource consumption.
Through an extensive review of existing research and practical implementations, the study identifies the core benefits of blockchain for distributed storage and processing. These include resilience to system failures, elimination of single points of failure, and protection against unauthorized data access. At the same time, several critical challenges are outlined, such as high energy consumption, the need for optimizing consensus algorithms, and developing effective strategies for managing large-scale data volumes. The research also investigates the economic implications of blockchain deployment, assessing cost-effectiveness in different operational contexts.
Based on the findings, the study proposes conceptual strategies for optimizing blockchain utilization in distributed computing systems. These strategies include the implementation of hybrid data processing models, integration with cloud computing, and enhancements in transaction management mechanisms. The insights provided in this study may be valuable for blockchain solution developers, researchers in distributed computing, and cybersecurity professionals, offering a robust foundation for further advancements in the field.

Keywords: blockchain, distributed storage, data processing, high-load systems, security, scalability, smart contracts, consensus, decentralization.