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Enhancing JS–MR Based Data Visualisation using YARN
  • P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2015, Volume: 8, Issue: 11, Pages:

Original Article

Enhancing JS–MR Based Data Visualisation using YARN


Hadoop is an advanced framework with separated File storage system to organize these data’s in distributed environment. Hadoop is a form of cluster with which is subjected to wide range of visualized data. Job sequence is one of the most peculiar sequences often handled by the scheduler in order to split and merge the job and its probable environment in organizing and utilizing the data. Once the scheduler assigns the job to its sequence and then it is visualized in terms of tracking, reordering and distributing those data in any distributed environment. Here the major focus of the research is concentrated on enormous amount of data to distinguish its pattern and way of organizing those data’s. The major scope is switched in the context of analyzing the data distribution using next generation yarn structure of HADOOP. The experimental results show that the problem addressed here has a vast advantage over the existing visualization techniques.

Keywords: Data Visualisation, Hadoop, Job Sequence, Scheduler, Yarn, Big Data


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