Title: A cloud-based optimal fuzzy clustering of distributed data

Authors: Rahma Souli-Jbali; Minyar Sassi Hidri

Addresses: Université de Tunis El Manar, Ecole Nationale d'Ingénieurs de Tunis, BP. 37, Le Belvédère 1002, Tunis, Tunisia ' Université de Tunis El Manar, Ecole Nationale d'Ingénieurs de Tunis, BP. 37, Le Belvédère 1002, Tunis, Tunisia

Abstract: Cloud computing is an infrastructure that allows the storage of large datasets. It provides a great and parallel computing which permits a faster computation on distributed data. The contribution of this paper concerns the development of a cloud-based fuzzy clustering algorithm of distributed datasets while detecting the optimal partition in a global view. The proposed algorithm meets the confidentiality constraint which prohibits the sharing of data between different resources while guaranteeing the data anonymity located on the cloud servers. A series of experiments was conducted to evaluate the efficiency of the proposed algorithm. The obtained results show the performance of the proposed algorithm on both quality and response time components.

Keywords: fuzzy clustering; parallel computing; cloud computing; asynchronous services; distributed data; confidentiality; data anonymity.

DOI: 10.1504/IJIEI.2015.069099

International Journal of Intelligent Engineering Informatics, 2015 Vol.3 No.1, pp.42 - 56

Received: 22 Dec 2014
Accepted: 12 Jan 2015
Published online: 27 Apr 2015 *

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