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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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2017
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| Subjects: | |
| 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 |