Zobrazeno 1 - 6
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pro vyhledávání: '"ECHBARTHI, Ghizlane"'
Autor:
Echbarthi, Ghizlane
Avec l'avènement du « big data », de nombreuses répercussions ont eu lieu dans tous les domaines de la technologie de l'information, préconisant des solutions innovantes remportant le meilleur compromis entre coûts et précision. En théorie de
Externí odkaz:
http://www.theses.fr/2017LYSE1225/document
Publikováno v:
ASONAM 2016
ASONAM 2016, Aug 2016, SAN FRANSISCO, United States
ASONAM 2016, Aug 2016, SAN FRANSISCO, United States
International audience; The proliferation in size of actual graph datasets impels the use of distributed graph processing frameworks which in turn, should consider a good partitioning of the graph dataset in order to see their performances enhanced.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd393f5cb77098e1960f08543192f95a
https://hal.archives-ouvertes.fr/hal-01405170
https://hal.archives-ouvertes.fr/hal-01405170
Publikováno v:
2014 Tenth International Conference on Signal-Image Technology & Internet-Based Systems; 2014, p677-681, 5p
Publikováno v:
2014 IEEE International Conference on Big Data (Big Data); 2014, p25-32, 8p
Publikováno v:
SITIS
Graph partitioning is a challenging and highly important problem when performing computation tasks over large distributed graphs, the reason is that a good partitioning leads to faster computations. In this work, we introduce the partial rest reaming
Publikováno v:
Big Data Conference
Big Data Conference, 2014, Washington DC, United States
BigData Conference
Big Data Conference, 2014, Washington DC, United States
BigData Conference
International audience; Graph partitioning is an important challenging problem when performing computation tasks over large distributed graphs; the reason is that a good partitioning leads to faster computations. In this work, we first introduce a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d131c34c8080b8b0e5d2b8718aa82a5
https://hal.archives-ouvertes.fr/hal-01282071
https://hal.archives-ouvertes.fr/hal-01282071