A conceptual modeling and execution framework for process based scientific
applications
CIMS '07: Proceedings of the ACM first workshop on CyberInfrastructure:
information management in eScience, page 23--30. New York, NY, USA, ACM, (2007)DOI: http://doi.acm.org/10.1145/1317353.1317360
Abstract
In recent years, scientists are dealing more and more with data
intensive and complex applications. Many scientific workflow
systems emerged which adapt technology and methods stemming
from the workflow management area and that should support
scientists in understanding and working with their complex
scenarios. However as these systems often descend from problem
solving environments, many of them are missing a well structured
conceptual method for process modeling and execution as a
foundation. In this publication we present a comprehensive and
well structured method for developing and analyzing process
based scientific applications. This method is constituted by a
process modeling framework, a data integration framework and a
model driven approach to build up infrastructures for process
modeling and execution.
