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| author | msabhi <abhi.is2006@gmail.com> | 2016-12-02 05:52:51 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-12-02 05:52:51 -0500 |
| commit | d8e57b0148773e05d0d21716833a12db031d3de5 (patch) | |
| tree | 6225b503cbbb930f2ac22a9a5651e862c0a18f07 /chapter/8/big-data.md | |
| parent | 5b948ce1ef0f531279a46e4358611402fb3433ac (diff) | |
Update big-data.md
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| -rw-r--r-- | chapter/8/big-data.md | 1 |
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diff --git a/chapter/8/big-data.md b/chapter/8/big-data.md index d121180..55d6b12 100644 --- a/chapter/8/big-data.md +++ b/chapter/8/big-data.md @@ -194,6 +194,7 @@ In BSP model - Barrier synchronization synchs all the processors at the end of every superstep. - A notable feature of the model is the complete control on data through communication between every processor at every superstep. - Though similar to map reduce model, BSP preserves data in memory across supersteps and helps in reasoning iterative graph algorithms. + **Pregel** Pregel is an implementation of classic BSP model by Google (PageRank) to analyze large graphs exclusively. It was followed by open source implementations - Apache’s Giraph and Hama; which were BSP models built on top of Hadoop. |