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In-Memory Big Graph: A Future Research Agenda

机译:内存大图:未来研究议程

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With the growth of the inter-connectivity of the world, Big Graph has become a popular emerging technology. For instance, social media (Facebook, Twitter). Prominent examples of Big Graph include social networks, biological network, graph mining, big knowledge graph, big web graphs and scholarly citation networks. A Big Graph consists of millions of nodes and trillion of edges. Big Graphs are growing exponentially and requires large computing machinery Big Graph is posing many issues such as storage, scalability, processing and many more. This paper gives a brief overview of in-memory Big Graph Systems and some key challenges. Also, sheds some light on future research agendas of in-memory systems.
机译:随着世界互连性的增长,Big Graph已成为一种流行的新兴技术。例如,社交媒体(Facebook,Twitter)。大图的突出例子包括社交网络,生物网络,图挖掘,大知识图,大网络图和学术引用网络。大图由数百万个节点和数万亿条边组成。大图正在以指数级增长,并且需要大型计算设备。大图带来了许多问题,例如存储,可伸缩性,处理等等。本文简要概述了内存中的大图系统和一些关键挑战。此外,还为内存系统的未来研究议程提供了一些启示。

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