LLAMA: A Persistent, Mutable Representation for Graphs
Graph-structured data is large, ever-changing, and ubiquitous. These features demand that graph analytic applications both compute on and modify large graphs efficiently, and it is also beneficial for analysts to be able to focus just on the last few hours or days of data. We present LLAMA, a graph...
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| Format: | Others |
| Language: | en |
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Harvard University
2015
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| Online Access: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226042 |