Yes, I also thought it was cool for them to mention that. I'll for
sure use some of your slides. In case I can't download the native,
I'll ask you.

I wait for your feedback :)

On Mon, Nov 21, 2011 at 10:42 PM, Avery Ching <> wrote:
> Thanks for volunteering Claudio!  It's very nice that Apache Giraph was
> mentioned in the invite, even though it's a relatively new open-source
> project.  I'll read your draft and send you feedback privately sometime
> today.  Also, if you need slides, please feel free to use anything I've ever
> posted (  I think you can download
> them natively.  Also, if you need feedback for your slides, let me know.
> Avery
> On 11/21/11 12:43 PM, Claudio Martella wrote:
>> Hi devs,
>> FOSDEM has announced a devroom completely dedicated to Graph Processing:
>> I'm going to submit for a talk there. Here's the draft, feedback is
>> welcome :)
>> Title: "Apache Giraph: distributed graph processing in the cloud."
>> Abstract: Web and online social graphs have been rapidly growing in
>> size and scale during the past decade. In 2008, Google estimated that
>> the number of web pages reached over a trillion. Online social
>> networking and email sites, including Yahoo!, Google, Microsoft,
>> Facebook, LinkedIn, and Twitter, have hundreds of millions of users
>> and are expected to grow much more in the future. Processing these
>> graphs plays a big role in relevant and personalized information for
>> users, such as results from a search engine or news in an online
>> social networking site.
>> The Apache Giraph ( project is a
>> faul-tolerant in-memory distributed graph processing system which runs
>> on top of a standard Hadoop cluster and is capable of running any
>> standard Bulk Synchronous Parallel (BSP) operation over any large
>> generic data set which can be represented as a graph. Apache Giraph is
>> a loose implementation of Google Pregel.
>> Giraph entered the ASF Incubator in July 2011, where it has enlisted
>> the aid of committers from Yahoo!, Facebook, LinkedIn, and Twitter.
>> The talk will present why running MapReduce jobs for graph processing
>> can be a problem,  introducing the reason why Google designed Pregel
>> at first place. Later, the BSP model will be presented focusing on how
>> it can be used to implement a distributed graph processing engine.
>> The last part of the talk will be dedicated to Apache Giraph, with a
>> description of the programming model (i.e. the API, some typical
>> examples such as PageRank and Single Source Shortest Path) along with
>> a technical overview of how the architecture of Giraph works and how
>> it leverages the Hadoop infrastructure.
>> Best,
>> Claudio

   Claudio Martella

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