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GraphDuo: A Dual-Model Graph Processing Framework

文献类型：期刊论文

作者Tian, Xinhui1,2; Zhan, Jianfeng1,2
刊名IEEE ACCESS
出版日期2018
卷号6页码:35057-35071
关键词Data processing distributed processing graph theory large-scale systems
ISSN号2169-3536
DOI10.1109/ACCESS.2018.2848291
英文摘要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.
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
语种英语
WOS记录号WOS:000439223300035
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/4569]  
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
推荐引用方式
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.

入库方式： OAI收割

来源：计算技术研究所

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