2008 32nd Annual IEEE International Computer Software and Applications Conference 2008
DOI: 10.1109/compsac.2008.97
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Advanced Grid Programming with Components: A Biometric Identification Case Study

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Cited by 5 publications
(2 citation statements)
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“…Here a sequence of variable sized input data sets is presented to an application exploiting parallelism by using a data parallel behavioural skeleton. The application is a biometric identification application matching scanned fingerprints against a (large) fingerprint database in real time [15]. The size of input data, in terms of number of data items, is presented on the first plot of the Figure. The manager is given a contract asking to keep a data set dimension per worker constant (the bar in the second graph, plotting the dimension of the single worker data set).…”
Section: Use Casesmentioning
confidence: 99%
“…Here a sequence of variable sized input data sets is presented to an application exploiting parallelism by using a data parallel behavioural skeleton. The application is a biometric identification application matching scanned fingerprints against a (large) fingerprint database in real time [15]. The size of input data, in terms of number of data items, is presented on the first plot of the Figure. The manager is given a contract asking to keep a data set dimension per worker constant (the bar in the second graph, plotting the dimension of the single worker data set).…”
Section: Use Casesmentioning
confidence: 99%
“…In this work, we discuss a process-driven application, which makes use of GCM autonomic components to solve the problem of large-scale biometric identification [7], that has been developed as part of the activities of the Grid-COMP project [6]. In particular, we discuss how process-driven application development exploits the autonomic features provided by the underlying Grid software as well as the results, experiences, and lessons learned during application development focusing on the integration of autonomic GCM components and the process-driven approach.…”
Section: Introductionmentioning
confidence: 99%