Dynamically Making Use of Distributed Data Sources in a Grid Environment (Ext. Abstract)

Abstract. To avoid the cost of multiple and costly examinations, health care institutions are in need to share information about scientific insights and patient data more intensively and transparently. The need for seam-less but still robust and secure collaboration is rising. Based on that scenario, this paper proposes an architecture for dynamically paralleliz-ing service requests in a grid environment without the need to change existing and conscientiously tested functionality. The task of preparing software for parallel execution is split into an application-specific part of partitioning requests and re-integrating results and a generic compo-nent responsible for the actual parallel calls, state management, failure handling, and robustness