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A European project to help SMEs manage big data

By: Unknown on Friday, 16 January 2015 | 12:27

Since early October, the Neuchâtel University Institute of Computer Science of coordinating a European research project on the management of large amounts of web data for small and medium enterprises.
 





The web grows each day of a large mass of data equivalent to 8 times the total US library catalog. For example, 35 hours of video are uploaded to YouTube every minute. But to take advantage of these data, SMEs face high costs as extract and process this information requires huge storage and computing capabilities.

To solve this problem, the European project LEADS was established. It is dedicated to the management of large amounts of data to the Web for small and medium enterprises. With a total of 4.25 million budget for a period of three years, he has four universities and three companies spread across 5 countries. It is coordinated by the University of Neuchâtel since early October under the responsibility of Stephen Riviere, lecturer at the Institute for Informatics at the University of Neuchâtel (IIUN) in the Professor Pascal Felber team. For this project, the IIUN receive an EU grant of almost 750,000 euros.


Development of data encryption and micro-cloud federation


In the spirit of the cloud, the strength of this project lies, the statement of the University of Neuchatel, "in its ability to ensure the confidentiality of private data. Encrypted by a key that is not known to the LEADS infrastructure, these data may be subject to treatment and queries, which are themselves encrypted. "According to Etienne River," this is particularly innovative because it uses implement encryption techniques that have been proposed recently or will be developed within the project. This typically involves comparisons, sorts, or extractions, which constitute the essence of the great masses of data processing operations. "

In addition, the project will promote LEADS micro-cloud federation geographically distributed so that transactions are in locations close customer or source of data. The objective is to avoid performing processing in the French part of the web and store the data in Brazil, for example, explains Etienne River: "This would generate huge transatlantic data flows and very few connections from Latin America. Locate the same storage in a high density area would be speaking much more advantageous. "Professor Felber team's researchers will therefore study the incorporation of the town of access and treatment. For this they use servers offered this spring to IIUN by Yahoo !, Company in association with the infrastructure of other members of the consortium.

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