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diff --git a/chapter/8/big-data.md b/chapter/8/big-data.md index 9dfd1d6..6a3edd3 100644 --- a/chapter/8/big-data.md +++ b/chapter/8/big-data.md @@ -14,6 +14,7 @@ In BSP model + The processors involved have their own local memory and every processor is connected to other via a point-to-point communication. + At every superstep, a processor receives input at the beginning, performs computation and outputs at the end. + 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. <br /> Though similar to map reduce model, BSP preserves data in memory across supersteps and helps in reasoning iterative graph algorithms.<br /> `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. |