TL;DR
The study outlines the technical requirements for building a scalable, adaptive, and efficient data storage solutions in highly distributed environments, and discusses necessary adaptations of existing technologies and the automation processes required to ensure system manageability and operational efficiency at scale.
The objective of this study is to improve the efficiency and reliability of centralized collection and analytical availability of diagnostic data in distributed information systems. The study reviews local Syslog-based approaches, broker-based solutions, architectural styles, and relevant technology stacks. A centraliz...
This study investigates methods to reduce failure-induced downtime to the sub-second scale. We introduce a fully symmetric and decentralized architecture, eliminating single points of failure, together with an optimized failure detection mechanism and a temporary primary-replica based recovery procedure. The proposed d...
Distributed metadata systems have become a defining constraint on the scalability and reliability of cloud-native platforms. As deployments span thousands of nodes and multiple geographic regions, metadata — governing resource ownership, partition assignment, service discovery, and operational orchestration — has emerg...
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