DEVELOPMENT OF HIGH-LOAD INFORMATION SYSTEMS: EVOLUTION AND CHALLENGES
DOI:
https://doi.org/10.31891/2219-9365-2025-83-41Keywords:
information technology, architecture, parallel computing, high-load systems, monitoring systemsAbstract
This article analyzes the key stages of development, technological approaches and modern challenges facing architects and developers. The article analyzes the development of high-load information systems, their evolution and challenges regarding the main characteristics. Various approaches to the development of high-load systems, parallel computing are presented. The results of the study indicate that the most promising is the microservice architecture. Although for small projects, a monolithic architecture can also be used. Distributed service architecture can also be implemented for corporate networks, specialized solutions. The prospects for the development of high-load information systems are associated with the further use of cloud technologies, serverless computing and the integration of artificial intelligence to optimize the operation of systems and predict the load. However, the expansion of intelligent functions can lead to a decrease in speed and fault tolerance. The development of effective high-load systems requires the formation of a balance of monitoring and expansion of functions with the number of microservices, the speed of working with system requests. Each high-load system has its own characteristics in accordance with the subject area.
The plans for further research include studying the features of the operation of a high-load system for a brokerage exchange. High-Load Information Systems (High-Load Information Systems) are the basis of modern digital infrastructure for complex organizational systems, ensuring the functioning of powerful services in the areas of e-commerce, social networks, online banking, the activities of various dynamic trading platforms, cloud computing. such as e-commerce, social networks, online banking and cloud computing. The evolution of these systems reflects the constant search for optimal solutions for processing growing volumes of data, managing a large number of simultaneous requests and ensuring uninterrupted availability. The relevance of the development of high-load systems requires developers of new systems with the possibility of multi-tier architecture, special modules for working with dynamic data.
The use of a specific architecture is closely related to the selected parallelism model. Parallelism models are ways of organizing calculations that allow you to perform several tasks simultaneously to increase productivity. They are closely related to computer system architectures, which define how hardware and software interact to implement parallel computing.
Promising models of parallelism and practice, and scientists consider those that allow for the efficient use of hardware resources, such as multi-core processors and specialized accelerators, to solve complex tasks. They differ from traditional approaches, focusing on increasing performance, scalability and flexibility.
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