A case for object capabilities as the foundation of a distributed environmental model and simulation infrastructure

With the advent of increasingly powerful computational architectures, scientists use these possibilities to create simulations ever-increasing size and complexity. Large-scale environmental systems require huge amounts resources. Managing in an operational way becomes complex difficult handle for individual scientists. State-of-the-art simulation infrastructures usually provide necessary resources a centralised setup, which often results all-or-nothing choice user. Here, we outline alternative approach handling this complexity, while rendering high-performance hardware large datasets still possible. It retains number desirable properties: (i) decentralised structure, (ii) easy sharing promote collaboration (iii) secure access everything, including natural delegation authority across levels system boundaries. We show that object capability paradigm will cover issues, present first steps towards developing infrastructure based on principles.