Main Reference PaperA Distributed Stream Library for Java 8, IEEE Transactions on Big Data, February 2017 [Java].
  • Proposed work is to allow java to apply in Big Data systems and performs distributed stream-based processing for the distribution of data across a cluster. Its efficiency is compared with Hadoop and Spark.

+ Description
  • Proposed work is to allow java to apply in Big Data systems and performs distributed stream-based processing for the distribution of data across a cluster. Its efficiency is compared with Hadoop and Spark.

  • To port existing applications to run over a cluster in big data paradigm.

  • To propose an efficient and light weight platform for big data processing

+ Aim & Objectives
  • To port existing applications to run over a cluster in big data paradigm.

  • To propose an efficient and light weight platform for big data processing

  • Efficiency of the proposed work is tested under various applications scenarios.

+ Contribution
  • Efficiency of the proposed work is tested under various applications scenarios.

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1 & J2EE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1 & J2EE.

  • 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-Depending on the complexity of the project and requirements.

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

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