Weigold, Thomas and Aldinucci, Marco and Danelutto, Marco and Getov, Vladimir (2009) Integrating autonomic grid components and process-driven business applications. In: Vasilakos, Athanasios V. and Beraldi, Roberto and Friedman, Roy and Mamei, Marco, (eds.) Autonomic computing and communications systems: third international ICST conference, autonomics 2009, Limassol, Cyprus, September 9-11, 2009, revised selected papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (23). Springer, Berlin / Heidelberg, pp. 96-113. ISBN 9783642114816
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Official URL: http://dx.doi.org/10.1007/978-3-642-11482-3_7
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.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||25 Jan 2010 14:25|
|Last Modified:||25 Jan 2010 14:25|
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