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

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Author
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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Date
2021-09
Type
    Journal Article
Rights / license
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 Show more
Permanent link
https://doi.org/10.3929/ethz-b-000504426
Publication status
published
External links
Journal / series
Communications of the ACM
Volume
64(9)
Pages / Article No.
62 - 71
Publisher
Association for Computing Machinery
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Citations
Cited 100 times in Scopus
ETH Bibliography
yes
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