The future is big graphs: a community view on graph processing systems

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Autor(in)
Sakr, Sherif
Bonifati, Angela
Voigt, Hannes
Iosup, Alexandru
Ammar, Khaled
Angles, Renzo
Aref, Walid
Arenas, Marcelo
Besta, Maciej
Boncz, Peter A.
Daudjee, Khuzaima
Della Valle, Emanuele
Dumbrava, Stefania
Hartig, Olaf
Haslhofer, Bernhard
Hegeman, Tim
Hidders, Jan
Hose, Katja
Iamnitchi, Adriana
Kalavri, Vasiliki
Kapp, Hugo
Martens, Wim
Özsu, Tamer M.
Peukert, Eric
Plantikow, Stefan
Ragab, Mohamed
Ripeanu, Matei R.
Salihoglu, Semih
Schulz, Christian
Selmer, Petra
Sequeda, Juan F.
Shinavier, Joshua
Szárnyas, Gábor
Tommasini, Riccardo
Tumeo, Antonino
Uta, Alexandru
Varbanescu, Ana L.
Wu, Hsiang-Yun
Yakovets, Nikolay
Yan, Da
Yoneki, Eiko
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Datum
2021-09
Typ
    Journal Article
Rechte / Lizenz
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Abstract
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 Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000504426
Publikationsstatus
published
Externe Links
Zeitschrift / Serie
Communications of the ACM
Band
64(9)
Seiten / Artikelnummer
62 - 71
Verlag
Association for Computing Machinery
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Zitate
100 Zitate in Scopus
ETH Bibliographie
yes
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