论文标题

未来是大图!图形处理系统的社区视图

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

论文作者

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, M. Tamer, 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 Lucia, Wu, Hsiang-Yun, Yakovets, Nikolay, Yan, Da, Yoneki, Eiko

论文摘要

图形本质上是统一抽象的,可以利用互连性来代表,探索,预测和解释现实世界现象。尽管图形实例和图形工作负载的真实用户和消费者了解这些抽象,但未来的问题将需要新的抽象和系统。大图处理继续取得成功需要在未来十年内发生什么?

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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