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H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs

H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs

Starting at: Rs.5,500.00

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 H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs

 Cloud Computing leverages Hadoop framework for processing BigData in parallel. Hadoop has certain limitations that could be exploited to execute the job efficiently. These limitations are mostly because of data locality in the cluster, jobs and tasks scheduling, and resource allocations in Hadoop. Efficient resource allocation remains a challenge in Cloud Computing MapReduce platforms. We propose H2Hadoop, which is an enhanced Hadoop architecture that reduces the computation cost associated with BigData analysis.


 


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  * Complete Presentation Slides   * Video On Demand *
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  * Screenshots   * Document Customization **
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  • Model: PROJ7376
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Saturday 24 June, 2017.

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