A cloud–based optimal fuzzy clustering of distributed data. (2015)

• Record Type: Journal Article
• Authors: Souli–Jbali, Rahma; Hidri, Minyar Sassi
• Is Part Of: International journal of intelligent engineering informatics. Volume 3: Number 1 (2015)
• Page Start: 42
• Page End: 56
• Publication Date: 2015
• Subjects: fuzzy clustering -- parallel computing -- cloud computing -- asynchronous services -- distributed data -- confidentiality -- data anonymity; Artificial intelligence -- Engineering applications -- Periodicals; Engineering -- Computer programs -- Periodicals; Knowledge management -- Periodicals; 620.0028563
• Languages: English
• ISSNs: 1758-8715

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.