Seminar on Internet Technologies (Winter 2014/2015): Difference between revisions
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| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/] | | [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/] | ||
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|'''Spark: the state of the art engine for big data processing ''' | |'''Spark: the state of the art engine for big data processing ''' ''(Assigned to Ramaninder Singh Jhajj)'' | ||
Due to the increasing popularity of multi-core CPU and computer cluster, many ideas, techniques and software on leveraging this new computing platform have been developed in recent few years. Since this is a huge area, in this topic, students are only required to investigate a few specific ideas and techniques, such as MapReduce, Hadoop and Spark. We hope that students can understand and teach the audience the basic ideas and get hands dirty on some big data processing tools. | Due to the increasing popularity of multi-core CPU and computer cluster, many ideas, techniques and software on leveraging this new computing platform have been developed in recent few years. Since this is a huge area, in this topic, students are only required to investigate a few specific ideas and techniques, such as MapReduce, Hadoop and Spark. We hope that students can understand and teach the audience the basic ideas and get hands dirty on some big data processing tools. | ||