GraphH: High performance big graph analytics in small clusters

GraphH: High performance big graph analytics in small clusters

It is common for real-world applications to analyze big graphs using distributed graph processing systems. Popular in-memory systems require an enormous amount of resources to handle big graphs. While several out-of-core approaches have been proposed for processing big graphs on disk, the high disk...

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Bibliographic Details
Main Authors: SUN, Peng, WEN, Yonggang, TA, Nguyen Binh Duong, XIAO, Xiaokui
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Graph Processing
Distributed Computing System
Network
Numerical Analysis and Scientific Computing
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4765
https://ink.library.smu.edu.sg/context/sis_research/article/5768/viewcontent/1705.05595.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4765
https://ink.library.smu.edu.sg/context/sis_research/article/5768/viewcontent/1705.05595.pdf

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