Main Reference PaperHandling Big Data Using a Data-Aware HDFS and Evolutionary Clustering Technique, IEEE Transactions on Big Data, 2018 [Python/Hadoop]
  • The aim of this project is to achieve optimization by placing related data together and reducing overhead on data movement between hosts. In initial stage, the data-aware HDFS framework is converting datasets into a distributed RDF graph. This process is done using Apache Jena. The second step, a genetic clustering is used to find a better placement for graph data.

Description
  • The aim of this project is to achieve optimization by placing related data together and reducing overhead on data movement between hosts. In initial stage, the data-aware HDFS framework is converting datasets into a distributed RDF graph. This process is done using Apache Jena. The second step, a genetic clustering is used to find a better placement for graph data.

  • To reduce the computation overhead

Aim & Objectives
  • To reduce the computation overhead

  • An effective technique is contributed to further improve the distributed encoding and the genetic operators to reduce computation overhead.

Contribution
  • An effective technique is contributed to further improve the distributed encoding and the genetic operators to reduce computation overhead.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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