Advanced Geospatial Computing

Our primary concept is a distributed storage system capable of supporting organizations which scale from the small to the very largest. The goal is to build a distributed self-configuring; self-managing and self-healing file storage system which exhibits modular upgradeability and dynamic adaptation to an organization's evolving needs. Our strategy to do this is to exploit a unique scientifically based architectural approach to enable the elimination of all unnecessary human intervention in the deployment, maintenance & evolution of storage repositories for distributed organizations. Many scientific disciplines are currently exploring the notion that complexity in non-linear systems can auto-catalyze the organization of structures within space and time. These organized patterns form as a result of the simple rules for local interactions between the individual entities and their environment. We plan to exploit these and other recently discovered scientific principles to create a distributed storage system which exhibits self-organizing behavior with the intention of enabling the system to manage its own data protection, maintenance and evolution. Because the system's evolution is influenced heavily by the user's environment (comprising of user interactions with their data, the addition or replacement of cells as the organization grows, differing operating systems, constant architectural change and intermittently functional and low bandwidth connectivity), the thesis is that the system is able to "design itself" to meet the evolving needs of the organization by constantly adapting to the environment the users presents to the system.