Summary of Large-Scale Grapb Partitioning Algoritbms

The large-scale graph partitioning algorithms were summarized and graph computing models in the distributed environment were introduced. Firstly the large-scale static graph partitioning algorithms and the dynamic graph partitioning algorithms were discussed. Then the advantages and disadvantages of...

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Bibliographic Details
Published inDianxin Kexue Vol. 30; pp. 100 - 106
Main Authors Jinfeng Xu, Yihong Dong, Shiyi Wang, Xianmang He, Huahui Chen
Format Journal Article
LanguageChinese
Published Beijing Xintong Media Co., Ltd 01.07.2014
Subjects
big data
bulk synchronous parallel model
distributed graph partitioning
dynamic graphs
large-scale graph
load balancing
MapReduce
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ISSN1000-0801

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Summary:The large-scale graph partitioning algorithms were summarized and graph computing models in the distributed environment were introduced. Firstly the large-scale static graph partitioning algorithms and the dynamic graph partitioning algorithms were discussed. Then the advantages and disadvantages of these algorithms and its adaptability conscientiously were sumed up. Finally, some meaningful research subjects about the distributed graph partition, which have not been explored were pointed out.
ISSN:1000-0801