MapReduce with Components for Processing Big Graphs

  • Cenez Araújo de Rezende UFC
  • Francisco Heron de Carvalho Junior UFC

Resumo

BigGraph applications have been mostly implemented with largescale parallel processing frameworks based on MapReduce. However, it continues to be challenging to meet their particular requirements, even despite the emerging of alternative models, such as Pregel. This paper introduces a component-oriented design for graph processing frameworks, by using HPC Shelf, a component-based cloud computing platform for HPC services.
Publicado
2018-10-01
Como Citar
DE REZENDE, Cenez Araújo; DE CARVALHO JUNIOR, Francisco Heron. MapReduce with Components for Processing Big Graphs. Anais do Simpósio em Sistemas Computacionais de Alto Desempenho (SSCAD), [S.l.], p. 108-115, out. 2018. ISSN 0000-0000. Disponível em: <https://sol.sbc.org.br/index.php/sscad/article/view/15649>. Acesso em: 17 maio 2024.
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Edição
2018: Anais do XIX Simpósio em Sistemas Computacionais de Alto Desempenho
Seção
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