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...
| Publicado en: | Communications of the ACM Vol. 64; no. 9; pp. 62 - 72 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Sep2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=152071859&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 152071859 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Sep2021 vid: 64 iid: 9 pid: 68 pub: Association for Computing Machinery artinfo: ui: 152071859 10.1145/3434642 ppf: 62 ppct: 10 formats: tig: 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. aug: au: 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 refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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