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Output details

11 - Computer Science and Informatics

University of Westminster

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Output 58 of 79 in the submission

Article title

Process-driven biometric identification by means of autonomic grid components

Type

D - Journal article

DOI

10.1504/IJAACS.2012.047659

Title of journal

International Journal of Autonomous and Adaptive Communications Systems

Article number

Volume number

Issue number

First page of article

274

ISSN of journal

1754-8632

Year of publication

2012

URL

http://westminsterresearch.wmin.ac.uk/11001/

Number of additional authors

Additional information

<09>Originality: Component-oriented software development has been attracting more attention for building complex distributed applications. In this work, we present the experiences gained from building a process-driven biometric identification application that uses grid infrastructures via the Grid Component Model (GCM).

Significance: GCM supports autonomic management of notable parallel composite components which is exploited in our application to ensure real-time identification of fingerprints. This is taken into account in our design, development and implementation of the application by means of autonomic GCM components.

Rigour: Experimental results and lessons learned confirm the advantages of the autonomic GCM framework and the process-driven approach.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract