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Journal Articles Communications of the ACM Year : 2021

The Future is Big Graphs! A Community View on Graph Processing Systems

1 Institute of Computer Science [University of Tartu, Estonie]
2 BD - Base de Données
3 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 TYREX - Types and Reasoning for the Web
5 Neo4j
6 VU - Vrije Universiteit Amsterdam [Amsterdam]
7 TU Delft - Delft University of Technology
8 BorialisAI
9 Universidad de Talca
10 Purdue University [West Lafayette]
11 UC Pontifical University Cathoic [Santiogo]
12 IMFD - Millennium Institute for Foundational Research on Data
13 ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich]
14 CWI - Centrum Wiskunde & Informatica
15 University of Waterloo [Waterloo]
16 Polytechnic University of Milan
17 ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise
18 LIU - Linköping University
19 AIT - Austrian Institute of Technology [Vienna]
20 Birkbeck College [University of London]
21 AAU - Aalborg University [Denmark]
22 USF - University of South Florida [Tampa]
23 BU - Boston University [Boston]
24 Oracle Labs Switzerland
25 Universität Bayreuth
26 Universität Leipzig
27 University of Tartu
28 UBC - University of British Columbia
29 Universität Heidelberg [Heidelberg] = Heidelberg University
30 data.world
31 Uber Engineering [Palo Alto]
32 BME - Budapest University of Technology and Economics [Budapest]
33 PNNL - Pacific Northwest National Laboratory
34 UvA - University of Amsterdam [Amsterdam] = Universiteit van Amsterdam
35 TU Wien - Institute of Applied Physics [Vienna]
36 TU/e - Eindhoven University of Technology [Eindhoven]
37 UAB - University of Alabama at Birmingham [ Birmingham]
38 CAM - University of Cambridge [UK]
Hannes Voigt
  • Function : Author
Khaled Ammar
  • Function : Author
Stefan Plantikow
  • Function : Author
Petra Selmer
  • Function : Author
Juan F. Sequeda
  • Function : Author
Riccardo Tommasini
  • Function : Author
  • PersonId : 1273255
  • IdHAL : rictomm

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 abstractions and systems. What needs to happen in the next decade for big graph processing to continue to succeed?

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Web

Dates and versions

hal-03128601 , version 1 (02-02-2021)

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Cite

Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, et al.. The Future is Big Graphs! A Community View on Graph Processing Systems. Communications of the ACM, 2021, 64 (9), pp.62-71. ⟨10.1145/3434642⟩. ⟨hal-03128601⟩
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