Integrating Information Systems and Scientific Computing

This paper presents the practical results and challenges from the real-life implementation of interactive complex systems in High End Computing environments. The successful implementation has been made possible using a new concept of higher-level data structures for dynamical applications and configuration of the resources. The discussion shows how an implementation of integrated information systems, compute and storage resources has been achieved. The implementation uses techniques ensuring to create a flexible way for communication with complex information and advanced scientific computing systems. Besides Inter-Process Communication these are mainly Object Envelopes for object handling and Compute Envelopes for computation objects. These algorithms provide means for generic data processing and flexible information exchange. Targeting mission critical environments, the interfaces can embed instruction information, validation and verification methods. The application covers challenges of collaborative implementation, legal, and security issues as well as scientific documentation and classification with these processes. The focus is on integrating information and computing systems, Distributed and High Performance Computing (HPC) resources, for use in natural sciences disciplines and scientific information systems. Implementing higher-level data structure frameworks for dynamical applications and resources configuration has led to scalable and modular integrated public / commercial information system components