Distributed Data Addressed in Natural Language
Ina Markova, Krasimira Ivanova, Stefan Karastanev · 2023
A distributed database management system provides the functionality of a centralized, but in an environment where data is distributed among the sites of a computer network or the nodes of a multiprocessor system. In this paper, we use a data storage approach based on Natural Language Addressing capabilities to support very large distributed databases with O(1) time complexity. We introduce two new data structures: a universal NLA-space and a concrete NLA-space. The NLA-space is a fundamentally new structure for the organization of distributed databases, which does not replace but naturally complements other widely used structures of database management systems. NLA-spaces open a wide field for research and practical implementation in the field of large databases with dynamic semistructured data (Big Data).