scalability

Methods for Evaluating the Reliability of Web Portals at Different Stages of Development Using the Integration of Immutable Infrastructure and Containerization

Summary. The article proposes a methodology for evaluating the dependability of web portals at various stages of their life cycle through the integration of Immutable Infrastructure and containerization technologies. As web systems grow in complexity and functional load, and as the demand for high availability and fault tolerance increases, traditional reliability as- sessment approaches based on defect density, error frequency, and test coverage become insufficient.

COMBINED DATA PARTITIONING METHOD FOR BIG DATA IN INFORMATION SYSTEMS

In today’s environment of rapidly growing data volumes, information systems must not only provide storage and access to massive datasets but also maintain stable performance when handling diverse query types. A critical challenge lies in balancing the efficiency of analytical (OLAP) operations with the responsiveness of transactional (OLTP) processes. Traditional approaches to data organization in relational DBMS often lose effectiveness in large-scale environments, resulting in longer processing times, reduced flexibility, and greater complexity in database management.

Modeling the Block Formation Process in Blockchain and Its Impact on Scalability

The article investigates the process of block formation in blockchain networks and the impact of node network architecture and consensus algorithms on their scalability and performance. Analysis of blockchain system scalability is important due to problems that arise when network load increases, particularly the increase in the number of block forks and transaction confirmation times. The research focuses on studying the impact of network delays and the choice of consensus algorithm on the performance and scalability of blockchain networks.

MIGRATION OF SERVICES IN A KUBERNETES CLUSTER BASED ON WORKLOAD FORECASTING

The article delves into the intricate challenge of scaling microservices within a Kubernetes cluster, thoroughly examining existing methodologies for scaling microservice architectures, and presenting a novel approach that involves migrating specific components. Unlike the conventional horizontal and vertical scaling strategies, which require additional resources, this proposed method focuses on migrating non-critical components to another Kubernetes cluster.