Seminar on Internet Technologies (Winter 2014/2015): Difference between revisions

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| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://www.eena.org/uploads/gallery/files/pdf/eena_ng112_longtermdefinition.pdf]
| [http://www.eena.org/uploads/gallery/files/pdf/eena_ng112_longtermdefinition.pdf]
|-
| '''What is the future of SDN? What are the different products that exist and their properties and promising application scenarios? '''  '' ''‎
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what products exist and also identify promising application scenarios. 
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
|-
|'''Task cooperation or offloading in Mobile Device Cloud''' ''(Assigned to Tare Pranay)''
|'''Task cooperation or offloading in Mobile Device Cloud''' ''(Assigned to Tare Pranay)''
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| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [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/]
|-
|'''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.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf][https://spark.apache.org/] [https://www.youtube.com/watch?v=e-Ys-2uVxM0&list=PL-x35fyliRwiST9gF7Z8Nu3LgJDFRuwfr]
|-
| '''What is the future of SDN? What are the different products that exist and their properties and promising application scenarios? '''  '' ''‎
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what products exist and also identify promising application scenarios. 
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
|-
|'''Utilising the wireless channel as a mathematical calculator - Summarising recent advances'''  
|'''Utilising the wireless channel as a mathematical calculator - Summarising recent advances'''  
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| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-
|'''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.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf][https://spark.apache.org/] [https://www.youtube.com/watch?v=e-Ys-2uVxM0&list=PL-x35fyliRwiST9gF7Z8Nu3LgJDFRuwfr]
|-}
|-}