Solving a big-data problem with GPU: the network traffic analysis
The number of devices connected to the Internet has increased significantly and will grow exponentially in the near future, it is due to the lower costs. It is expected that next years, data traffic via Internet increases up to values around zettabyte. As a consequence of this increase, it can be ob...
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| Autores principales: | , , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
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2015
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/44774 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr15-5.pdf |
| Aporte de: |
| id |
I19-R120-10915-44774 |
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dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Internet Graphics processors red de transmisión de datos |
| spellingShingle |
Ciencias Informáticas Internet Graphics processors red de transmisión de datos Barrionuevo, Mercedes Lopresti, Mariela Miranda, Natalia Carolina Piccoli, María Fabiana Solving a big-data problem with GPU: the network traffic analysis |
| topic_facet |
Ciencias Informáticas Internet Graphics processors red de transmisión de datos |
| description |
The number of devices connected to the Internet has increased significantly and will grow exponentially in the near future, it is due to the lower costs. It is expected that next years, data traffic via Internet increases up to values around zettabyte. As a consequence of this increase, it can be observed that the data traffic is growing faster than the capacity of their processing. In recent years, the identification of Internet traffic generated by different applications has become one of the major challenges for telecommunications networks. This characterization is based on understanding the composition and dynamics of Internet traffic to improve network performance. To analyse a huge amount of data generated by networks traffic in real time requires more power and capacity computing. A good option is to apply High Performance Computing techniques in this problem, especifically use Graphics Processing Unit (GPU). Its main characteristics are high computational power, constant development and low cost, besides provides a kit of programming called CUDA. It offers a GPUCPU interface, thread synchronization, data types, among others. In this paper we present the causes of increasing data volumes circulating on the network, data analysis and monitoring current techniques, and the feasibility of combining data mining techniques with GPU to solve this problem and speed up turnaround times. |
| format |
Articulo Articulo |
| author |
Barrionuevo, Mercedes Lopresti, Mariela Miranda, Natalia Carolina Piccoli, María Fabiana |
| author_facet |
Barrionuevo, Mercedes Lopresti, Mariela Miranda, Natalia Carolina Piccoli, María Fabiana |
| author_sort |
Barrionuevo, Mercedes |
| title |
Solving a big-data problem with GPU: the network traffic analysis |
| title_short |
Solving a big-data problem with GPU: the network traffic analysis |
| title_full |
Solving a big-data problem with GPU: the network traffic analysis |
| title_fullStr |
Solving a big-data problem with GPU: the network traffic analysis |
| title_full_unstemmed |
Solving a big-data problem with GPU: the network traffic analysis |
| title_sort |
solving a big-data problem with gpu: the network traffic analysis |
| publishDate |
2015 |
| url |
http://sedici.unlp.edu.ar/handle/10915/44774 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr15-5.pdf |
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Repositorios |
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