Research Article
Integrating Autonomic Grid Components and Process-Driven Business Applications
@INPROCEEDINGS{10.1007/978-3-642-11482-3_7, author={Thomas Weigold and Marco Aldinucci and Marco Danelutto and Vladimir Getov}, title={Integrating Autonomic Grid Components and Process-Driven Business Applications}, proceedings={Autonomic Computing and Communications Systems. Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers}, proceedings_a={AUTONOMICS}, year={2012}, month={4}, keywords={Autonomic computing components parallel applications distributed applications process-driven applications}, doi={10.1007/978-3-642-11482-3_7} }- Thomas Weigold
Marco Aldinucci
Marco Danelutto
Vladimir Getov
Year: 2012
Integrating Autonomic Grid Components and Process-Driven Business Applications
AUTONOMICS
Springer
DOI: 10.1007/978-3-642-11482-3_7
Abstract
Today’s business applications are increasingly process driven, meaning that the main application logic is executed by a dedicate process engine. In addition, component-oriented software development has been attracting attention for building complex distributed applications. In this paper we present the experiences gained from building a process-driven biometric identification application which makes use of Grid infrastructures via the Grid Component Model (GCM). GCM, besides guaranteeing access to Grid resources, supports autonomic management of notable parallel composite components. This feature is exploited within our biometric identification application to ensure real time identification of fingerprints. Therefore, we briefly introduce the GCM framework and the process engine used, and we describe the implementation of the application using autonomic GCM components. Finally, we summarize the results, experiences, and lessons learned focusing on the integration of autonomic GCM components and the process-driven approach.
