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https://issues.apache.org/jira/browse/HADOOP-4586?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12649067#action_12649067
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Francesco Salbaroli commented on HADOOP-4586:
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What the community think about using the JGroups reliable multicast system for
communicating and status monitoring between master and slaves?
It has 2 major benefits:
1) Implements reliable multicast communications
2) Abstracts from the protocol used (can exploit benefits of Multicast UDP,
where available, or using TCP where Multicast is forbidden i.e. Amazon EC2)
Regards,
Francesco
> Fault tolerant Hadoop Job Tracker
> ---------------------------------
>
> Key: HADOOP-4586
> URL: https://issues.apache.org/jira/browse/HADOOP-4586
> Project: Hadoop Core
> Issue Type: New Feature
> Components: mapred
> Affects Versions: 0.18.0
> Environment: High availability enterprise system
> Reporter: Francesco Salbaroli
> Attachments: FaultTolerantHadoop.pdf
>
> Original Estimate: 2016h
> Remaining Estimate: 2016h
>
> The Hadoop framework has been designed, in an eort to enhance perfor-
> mances, with a single JobTracker (master node). It's responsibilities varies
> from managing job submission process, compute the input splits, schedule
> the tasks to the slave nodes (TaskTrackers) and monitor their health.
> In some environments, like the IBM and Google's Internet-scale com-
> puting initiative, there is the need for high-availability, and performances
> becomes a secondary issue. In this environments, having a system with
> a Single Point of Failure (such as Hadoop's single JobTracker) is a major
> concern.
> My proposal is to provide a redundant version of Hadoop by adding
> support for multiple replicated JobTrackers. This design can be approached
> in many dierent ways.
> In the document at:
> http://sites.google.com/site/hadoopthesis/Home/FaultTolerantHadoop.pdf?attredirects=0
> I wrote an overview of the problem and some approaches to solve it.
> I post this to the community to gather feedback on the best way to proceed in
> my work.
> Thank you!
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