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Scientific Programming
Volume 2016, Article ID 1050293, 11 pages
http://dx.doi.org/10.1155/2016/1050293
Research Article

Cloud for Distributed Data Analysis Based on the Actor Model

Faculty of Computer Science and Technology, Saint Petersburg Electrotechnical University (LETI), Professora Popova Street 5, Saint Petersburg 197376, Russia

Received 29 April 2016; Accepted 29 June 2016

Academic Editor: Fabrizio Messina

Copyright © 2016 Ivan Kholod et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper describes the construction of a Cloud for Distributed Data Analysis (CDDA) based on the actor model. The design uses an approach to map the data mining algorithms on decomposed functional blocks, which are assigned to actors. Using actors allows users to move the computation closely towards the stored data. The process does not require loading data sets into the cloud and allows users to analyze confidential information locally. The results of experiments show that the efficiency of the proposed approach outperforms established solutions.