未来是大图表! 社区对图表处理系统的看法 (The Future is Big Graphs! A Community View on Graph Processing Systems)

Sherif Sakr,Angela Bonifati,Hannes Voigt,Alexandru Iosup,Khaled Ammar,Renzo Angles,Walid Aref,Marcelo Arenas,Maciej Besta,Peter A. Boncz,Khuzaima Daudjee,Emanuele Della Valle,Stefania Dumbrava,Olaf Hartig,Bernhard Haslhofer,Tim Hegeman,Jan Hidders,Katja Hose,Adriana Iamnitchi,Vasiliki Kalavri,Hugo Kapp,Wim Martens,M. Tamer Özsu,Eric Peukert,Stefan Plantikow,Mohamed Ragab,Matei R. Ripeanu,Semih Salihoglu,Christian Schulz,Petra Selmer,Juan F. Sequeda,Joshua Shinavier,Gábor Szárnyas,Riccardo Tommasini,Antonino Tumeo,Alexandru Uta,Ana Lucia Varbanescu,Hsiang-Yun Wu,Nikolay Yakovets,Da Yan,Eiko Yoneki

from arxiv, 12 pages, 3 figures, collaboration between the large-scale systems and data management communities, work started at the Dagstuhl Seminar 19491 on Big Graph Processing Systems, to be published in the Communications of the ACM

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?

翻译：图表本质上是统一的抽象概念,它们能够利用相互联系来代表、探索、预测和解释现实和数字世界现象。尽管图表实例和图表工作量的实际用户和消费者理解这些抽象概念,但未来问题需要新的抽象和系统。在未来十年里,大图表处理要继续取得成功,需要怎样才能在未来十年中取得成功呢?