大图分析系统

D. Yan, Yingyi Bu, Yuanyuan Tian, A. Deshpande, James Cheng
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引用次数: 27

摘要

近年来,我们见证了对开发大图处理系统的兴趣激增。到目前为止,已经提出了数十个大图系统。本教程提供了对现有Big Graph系统的及时和全面的回顾,并从不同的角度总结了它们的优缺点。我们从现有的以顶点为中心的系统开始,程序员在开发并行图算法时直观地将其视为顶点。然后介绍采用其他计算范式和执行设置的系统。本教程涵盖的主题包括编程模型和算法设计、计算模型、通信机制、核外支持、容错、动态图支持等等。我们还强调了大图分析的未来研究机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Graph Analytics Systems
In recent years we have witnessed a surging interest in developing Big Graph processing systems. To date, tens of Big Graph systems have been proposed. This tutorial provides a timely and comprehensive review of existing Big Graph systems, and summarizes their pros and cons from various perspectives. We start from the existing vertex-centric systems, which which a programmer thinks intuitively like a vertex when developing parallel graph algorithms. We then introduce systems that adopt other computation paradigms and execution settings. The topics covered in this tutorial include programming models and algorithm design, computation models, communication mechanisms, out-of-core support, fault tolerance, dynamic graph support, and so on. We also highlight future research opportunities on Big Graph analytics.
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