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.

Authors :: 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
Source :: Communications of the ACM. Sep2021, Vol. 64 Issue 9, p62-71. 10p. 1 Color Photograph, 3 Diagrams.
Publication Year :: 2021
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? [ABSTRACT FROM AUTHOR]

Subjects :: *GRAPHIC methods
*COMPUTER systems
*DATA management
*QUERY languages (Computer science)

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