Chronos:一个用于时间图分析的图引擎

Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen
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引用次数: 191

摘要

时间图捕捉了图表随时间的变化,并且正在成为一个吸引研究界越来越感兴趣的主题,例如,在一个随时间变化的社会图上理解社会互动的时间特征。Chronos是一个存储和执行引擎,专为在时间图上运行内存迭代图计算而设计和优化。局部性是Chronos设计的核心,它精心设计了时间图的内存布局和时间图上迭代计算的调度,以便调度时间图上的常见“批量”操作,以最大限度地发挥内存数据局部性的好处。Chronos的设计进一步探索了局部性、并行性和增量计算之间有趣的相互作用,以支持时间图上的常见挖掘任务。结果是一个高性能的时间图系统,与现有的图引擎在一系列快照上的直接应用程序相比,它为时间迭代图挖掘提供了高达数量级的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chronos: a graph engine for temporal graph analysis
Temporal graphs capture changes in graphs over time and are becoming a subject that attracts increasing interest from the research communities, for example, to understand temporal characteristics of social interactions on a time-evolving social graph. Chronos is a storage and execution engine designed and optimized specifically for running in-memory iterative graph computation on temporal graphs. Locality is at the center of the Chronos design, where the in-memory layout of temporal graphs and the scheduling of the iterative computation on temporal graphs are carefully designed, so that common "bulk" operations on temporal graphs are scheduled to maximize the benefit of in-memory data locality. The design of Chronos further explores the interesting interplay among locality, parallelism, and incremental computation in supporting common mining tasks on temporal graphs. The result is a high-performance temporal-graph system that offers up to an order of magnitude speedup for temporal iterative graph mining compared to a straightforward application of existing graph engines on a series of snapshots.
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