A Grid-Enabled Problem Solving Environment for QTL Analysis in R

A large number of diverse applications in multidisciplinary research environments require efficient, seamless, and easy-to-use environments to address computationally intensive problems. In this work we present an approach to build Grid-enabled problem solving environments (PSE), that allow end-users to operate within familiar settings and provide transparent access to computational Grid resources. The prototype integrates a system built on the open source statistical software system R with the Grid Job Management Framework (GJMF) which provides middleware-transparent access to Grid functionality, allowing our PSE to not be limited to using a specific middleware, but rather offload Grid issues to existing arbitration layers. The presented platform was created from already existing software components.