Abstract
Within this book chapter, technologies for data mining, data processing and data interpreting are introduced, evaluated and compared. Especially, traditional High Performance Computing, and the newly emerging fields High Performance Data Analytics and Cognitive Computing are put into context in order to understand their strengths and weaknesses. However, the technologies have not been evaluated solely, but also the missing links between them have been identified and described.
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Notes
- 1.
Top500: http://www.top500.org
- 2.
Apache Spark: http://spark.apache.org
- 3.
Apache Hadoop: http://hadoop.apache.org
- 4.
Apache Storm: http://storm.apache.org
- 5.
Apache Flink: http://flink.apache.org
- 6.
DiscoProject: http://www.discoproject.org
- 7.
DataTorrent RTS: https://www.datatorrent.com
- 8.
BashReduce: https://github.com/erikfrey/bashreduce
- 9.
Google Inc.: http://www.google.com
- 10.
Centre of excellence for Global Systems Science: http://www.coegss.eu
- 11.
Wikipedia Definition of Cognitive Computing: https://en.wikipedia.org/wiki/Cognitive_computing
- 12.
- 13.
- 14.
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Koller, B., Gienger, M., Resch, M.M. (2016). High Performance Computing and High Performance Data Analytics—What is the Missing Link?. In: Resch, M., Bez, W., Focht, E., Patel, N., Kobayashi, H. (eds) Sustained Simulation Performance 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-46735-1_2
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DOI: https://doi.org/10.1007/978-3-319-46735-1_2
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