Institute of Computing Technology, Chinese Academy IR
GraphDuo: A Dual-Model Graph Processing Framework | |
Tian, Xinhui1,2; Zhan, Jianfeng1,2 | |
2018 | |
发表期刊 | IEEE ACCESS |
ISSN | 2169-3536 |
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 |
DOI | 10.1109/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 | |
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 |
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. |
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