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Asynchronous Page-Rank Computation in Spark

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Abstract

High efficiency page-rank computation is motivated by issues that bulk synchronous parallel computing model has high-cost synchronous barriers, and asynchronous communication can avoid long-waiting time. By operations of updating inside RDDs, iteration can step into the next round without the barrier of synchronization among all partitions. Experiment results indicate that our method can improve the execution speed significantly compared to Graphx.


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