@article{ibm:ijaacs:12,
  volume = {5},
  number = {3},
  issn = {1754-8632},
  author = {Thomas Weigold and Marco Aldinucci and Marco Danelutto and Vladimir
            Getov},
  url = {http://calvados.di.unipi.it/storage/paper_files/2012_JAACS_Weigold.pdf},
  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 that 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 by means of 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.},
  title = {Process-Driven Biometric Identification by means of Autonomic Grid
           Components},
  publisher = {Inderscience Enterprises Ltd.},
  journal = {Int. J. of Autonomous and Adaptive Communications Systems},
  pages = {274-291},
  year = {2012},
}

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