A self-organized semantic storage service
Hannes Mühleisen, Anne Augustin, Tilman Walther, Marko Harasic, Kia Teymourian, Robert Tolksdorf · 2010
Traditional approaches for data storage and analysis are facing their limits when handling the enormous data amounts of today's applications. We believe that a radical departure from contemporary architectures of stores is necessary to satisfy that central scalability requirement. One of the most promising new schools of thought in system design are swarm intelligent and swarm-based approaches for data distribution and organization. In this paper, we describe our current work on a swarm-based storage service for Semantic Web data. This storage service utilizes algorithms discovered in the behavior of ant colonies. We describe these algorithms and our enhancements to them as well as our evaluation of the implementation.