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Posted to mapreduce-issues@hadoop.apache.org by "amol kamble (JIRA)" <ji...@apache.org> on 2012/08/06 10:29:02 UTC
[jira] [Commented] (MAPREDUCE-225) Fault tolerant Hadoop Job
Tracker
[ https://issues.apache.org/jira/browse/MAPREDUCE-225?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13429023#comment-13429023 ]
amol kamble commented on MAPREDUCE-225:
---------------------------------------
whether this issue is resolved or not I want to work on this...Pls help me
> Fault tolerant Hadoop Job Tracker
> ---------------------------------
>
> Key: MAPREDUCE-225
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-225
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Environment: High availability enterprise system
> Reporter: Francesco Salbaroli
> Assignee: Francesco Salbaroli
> Attachments: Enhancing the Hadoop MapReduce framework by adding fault.ppt, FaultTolerantHadoop.pdf, HADOOP-4586-0.1.patch, HADOOP-4586v0.3.patch, jgroups-all.jar
>
>
> 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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