Title:
Extending Hadoop to Support Binary-Input Applications

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Author(s)
Hong, Bo
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School of Computational Science and Engineering
School established in May 2010
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Abstract
Many data-intensive applications naturally take multiple inputs, which is not well supported by some popular MapReduce implementations, such as Hadoop. In this talk, we present an extension of Hadoop to better support such applications. The extension is expected to provide the following benefits: (1) easy to program for such applications, (2) explores data localities better than native Hadoop, and (3) improves application performance.
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Date Issued
2012-10-19
Extent
55:36 minutes
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Moving Image
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Lecture
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