High-Performance Indexing of High-Volume Database Content

This research project aimed at producing a high-speed and web-based indexing model solution for high-volumes of metadata database content. Such solution would enable users to index their metadata content within reasonable periods of time. Also, it would enable them to debug and profile the entire indexing process. The produced model involves retrieving high-volume of database metadata content, and indexing that content into one or more searchable indexes within acceptable complexity. As indexing time complexity is crucial in selecting the right indexing tool from the many ones that are available on commercial bases, the produced model is meant to speedup indexing by running multiple indexing agents at the same time or in batches.