[jira] [Created] (GIRAPH-480) Add convergence detection to org.apache.giraph.examples.RandomWalkVertex

["Sebastian Schelter (JIRA)" <ji...@apache.org>]

Sebastian Schelter created GIRAPH-480:
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             Summary: Add convergence detection to org.apache.giraph.examples.RandomWalkVertex
                 Key: GIRAPH-480
                 URL: https://issues.apache.org/jira/browse/GIRAPH-480
             Project: Giraph
          Issue Type: Improvement
          Components: examples
    Affects Versions: 0.2.0
            Reporter: Sebastian Schelter
            Assignee: Sebastian Schelter


I propose to add convergence detection to the RandomWalkVertex. Convergence is achieved when the overall absolute change (L1 norm) of the difference between the current and the previous probability vector. Convergence detection can be implemented via an additional aggregator.

This change would make the class much easier to use as the users don't have to worry about the number of supersteps, but can simply specify a high number as MAX_SUPERSTEPS and be sure that the algorithm convergences when acceptable quality of the result is reached.

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