Distributed storage and processing of hierarchical data structures

Abstract

The present disclosure generally relates to storing, processing, and classification of content resources, such as documents, web-based resources, and other content. More particularly, the present disclosure describes techniques for distributed storage of network session data in hierarchical data structures stored on multiple servers and/or physical storage devices, and techniques for analyzing and classifying the distributed hierarchical structures. Such techniques may include executing different machine-learning algorithms on different servers and/or different storage devices, and generating node mapping data between a plurality of different hierarchical structures and a top-level derivative hierarchy that references the underlying hierarchical structures in order to access and manage the different distributed taxonomies within the underlying hierarchical structures.