The Future is Big Graphs! A Community View on Graph Processing Systems - Archive ouverte HAL Access content directly
Journal Articles Communications of the ACM Year : 2021

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

(1) , (2, 3, 4) , (5) , (6, 7) , (8) , (9) , (10) , (11, 12) , (13) , (14) , (15) , (16) , (17) , (18) , (19) , (6) , (20) , (21) , (22) , (23) , (24) , (25) , (15) , (26) , (5) , (27) , (28) , (15) , (29) , (5) , (30) , (31) , (32) , (27) , (33) , (6) , (34) , (35) , (36) , (37) , (38)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
Hannes Voigt
  • Function : Author
Khaled Ammar
  • Function : Author
Stefan Plantikow
  • Function : Author
Petra Selmer
  • Function : Author
Juan F. Sequeda
  • Function : Author

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?

Dates and versions

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

Identifiers

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⟩
113 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More