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Utilizing grid computing resources has become crucial to advances in today's computational science and engineering. To sustain efficiency, applications have to adapt to changing execution environments. Suitable implementations require huge efforts in terms of time and personnel. In this paper we describe the design of the Pollarder framework, a work in progress which offers a new approach to grid application componentization. It is based on a number of specialized design patterns to improve code reusability and flexibility. An adaptation layer handles environment discovery and is able to construct self-adapting applications from a user supplied library of components. We provide first experiences gathered with a prototype implementation.

Pollarder: An Architecture Concept for Self-adapting Parallel Applications in Computational Science