The Future Is Big Graphs: A Community View on Graph Processing Systems: Ensuring the success of big graph processing for the next decade and beyond.

GRAPHS ARE, BY nature, 'unifying abstractions' that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users and consumers of graph instances and graph workloads understand these abstractions, future problems will require new...

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Publicado en:Communications of the ACM Vol. 64; no. 9; pp. 62 - 72
Autores principales: SAKR, SHERIF, BONIFATI, ANGELA, VOIGT, HANNES, IOSUP, ALEXANDRU, AMMAR, KHALED, ANGLES, RENZO, AREF, WALID, ARENAS, MARCELO, BESTA, MACIEJ, BONCZ, PETER A., DAUDJEE, KHUZAIMA, VALLE, EMANUELE DELLA, DUMBRAVA, STEFANIA, HARTIG, OLAF, HASLHOFER, BERNHARD, HEGEMAN, TIM, HIDDERS, JAN, HOSE, KATJA, IAMNITCHI, ADRIANA, KALAVRI, VASILIKI
Formato: Artículo
Publicado: Association for Computing Machinery Sep2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The Future Is Big Graphs: A Community View on Graph Processing Systems: Ensuring the success of big graph processing for the next decade and beyond.
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          SAKR, SHERIF
          BONIFATI, ANGELA
          VOIGT, HANNES
          IOSUP, ALEXANDRU
          AMMAR, KHALED
          ANGLES, RENZO
          AREF, WALID
          ARENAS, MARCELO
          BESTA, MACIEJ
          BONCZ, PETER A.
          DAUDJEE, KHUZAIMA
          VALLE, EMANUELE DELLA
          DUMBRAVA, STEFANIA
          HARTIG, OLAF
          HASLHOFER, BERNHARD
          HEGEMAN, TIM
          HIDDERS, JAN
          HOSE, KATJA
          IAMNITCHI, ADRIANA
          KALAVRI, VASILIKI
        affil:
          Professor at the Institute of Computer Science at University of Tartu, Estonia
          Professor at Lyon 1 University and Liris CNRS in Villeurbanne, France
          Software engineer at Neo4j, Germany
          Professor at Vrije Universiteit Amsterdam
          Department of Cell Biology, New York University Medical Center, New York, New York, U.S.A
      su:
        Graphic methods
        Computer systems
        Data management
        Query languages (Computer science)
      sug:
        subj:
          Graphic methods
          Computer systems
          Data management
          Query languages (Computer science)
      ab: GRAPHS ARE, BY nature, 'unifying abstractions' that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users and consumers of graph instances and graph workloads understand these abstractions, future problems will require new abstractions and systems. What needs to happen in the next decade for big graph processing to continue to succeed?
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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          year: 2021
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