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GraphDuo: A Dual-Model Graph Processing Framework
Tian, Xinhui1,2; Zhan, Jianfeng1,2
2018
发表期刊IEEE ACCESS
ISSN2169-3536
卷号6页码:35057-35071
摘要Algorithms for large-scale natural graph processing can be categorized into two types based on their value propagation behaviors: the unidirectional value propagation algorithms and the bidirectional value propagation algorithms. The graph computation in different types exhibits different properties on how vertices interact with their neighbors and has different requirements on system design. Current distributed graph processing systems usually try to support both types in one general-purpose computing model, which can result in suboptimial performance, high communication overhead, and high resource consumption. In this paper, we propose GraphDuo, a new Spark-based graph processing framework that provides two efficient computing models for unidirectional and bidirectional value propagation algorithms, respectively. Combined with a degree-based graph partitioning scheme, a locality-aware graph layout, and other optimization techniques, GraphDuo achieves low computation cost, low communication overhead, small memory footprint, and good communication balance for two types of algorithms. According to the experimental results, GraphDuo can outperform GraphX from 1.76x to 6.56x and from 1.11x to 1.26x for two types of algorithms, respectively, with much less memory consumption and communication cost. The source code of GraphDuo is publicly available from http://prof.ict.ac.cn/GraphDuo.
关键词Data processing distributed processing graph theory large-scale systems
DOI10.1109/ACCESS.2018.2848291
收录类别SCI
语种英语
资助项目National Key Research and Development Plan of China[2016YFB1000600] ; National Key Research and Development Plan of China[2016YFB1000601]
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000439223300035
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/4570
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhan, Jianfeng
作者单位1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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GB/T 7714
Tian, Xinhui,Zhan, Jianfeng. GraphDuo: A Dual-Model Graph Processing Framework[J]. IEEE ACCESS,2018,6:35057-35071.
APA Tian, Xinhui,&Zhan, Jianfeng.(2018).GraphDuo: A Dual-Model Graph Processing Framework.IEEE ACCESS,6,35057-35071.
MLA Tian, Xinhui,et al."GraphDuo: A Dual-Model Graph Processing Framework".IEEE ACCESS 6(2018):35057-35071.
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