In conclusion, I would say yes.

But, I'm not sure that there's another method at the moment.

On Tue, Jun 28, 2011 at 11:01 PM, Claudio Martella
<[email protected]> wrote:
> Hi,
>
> I was considering an issue not discussed in Pregel paper. One
> interesting thing about MapReduce is that the memory limit for each job
> in a cluster node is the number of task assigned to that node * the
> memory allocated by each task (plus of course the framework overhead).
> The input data is iteratively loaded (and kind of emitted too) from
> storage and doesn't need to be kept in memory or loaded together in advance.
>
> In Pregel, to me, it looks like the whole graph has to fit in memory
> among the cluster nodes. As it is somehow stateful and doesn't have an
> iterative job-job nature as MapReduce, at the beginning of the job all
> the vertices and their data have to be loaded into the cluster (and kept
> in memory).
>
> So the question is: if i want to run Pagerank over my graph, do I need
> to be able to store the whole graph in memory?
>
>
> Thanks!
>
> --
> Claudio Martella
> Digital Technologies
> Unit Research & Development - Analyst
>
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-- 
Best Regards, Edward J. Yoon
@eddieyoon

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