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Parallel Collection of Live Data Using Hadoop

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4 Author(s)
Kyriacos Talattinis ; Dept. of Appl. Inf., Univ. of Macedonia, Thessaloniki, Greece ; Aikaterini Sidiropoulou ; Konstantinos Chalkias ; George Stephanides

Hadoop is a fault tolerant Java framework that supports data distribution and process parallelization using commodity hardware. Based on the provided scalability and the independence of task execution, we combined Hadoop with crawling techniques to implement various applications that deal with large amount of data. Our experiments show that Hadoop is a very useful and trustworthy tool for creating distributed programs that perform better in terms of computational efficiency.

Published in:

Informatics (PCI), 2010 14th Panhellenic Conference on

Date of Conference:

10-12 Sept. 2010