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An Empirical Exploration of the Yarn in Big Data

Yusuf Perwej, Bedine Kerim, Mohmed Sirelkhtem Adrees, Osama E. Sheta Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Yusuf Perwej, Bedine Kerim, Mohmed Sirelkhtem Adrees, Osama E. Sheta
10.5120/ijais2017451730
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  1. Yusuf Perwej, Bedine Kerim, Mohmed Sirelkhtem Adrees and Osama E Sheta. An Empirical Exploration of the Yarn in Big Data. International Journal of Applied Information Systems 12(9):19-29, December 2017. URL, DOI BibTeX

    @article{10.5120/ijais2017451730,
    	author = "Yusuf Perwej and Bedine Kerim and Mohmed Sirelkhtem Adrees and Osama E. Sheta",
    	title = "An Empirical Exploration of the Yarn in Big Data",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "December 2017",
    	volume = 12,
    	number = 9,
    	month = "Dec",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "19-29",
    	url = "http://www.ijais.org/archives/volume12/number9/1015-2017451730",
    	doi = "10.5120/ijais2017451730",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

The growth in population and progression of internet services, data size is getting increased day by day where 105000s of Trillion of data files are there in cloud available in unstructured nature. The coming times of Big Data are rapidly arriving for just about all industries. The Big Data can help in metamorphose major business processes by advisable and correct analysis of accessible data. Big data have also played an essential role in crime discover. Hadoop is open-source software in the form of an extremely scalable and fault tolerant distributed system which plays a very remarkable role in data storage and its processing. The Apache Hadoop Yarn is an open source framework developed by Apache Software Foundation. It is used for nursing Big Data. It endows storage as well as processing functionality. In this paper, we aimed to demonstrate a close look to about Yarn. The Yarn as a usual computing fabric to support MapReduce and another application instance within of the same kind Hadoop cluster. Yarn allow multiple applications to run simultaneously on the coequal shared cluster and assent applications to negotiate resources based on necessity. In the end, we are in a nutshell discuss about the design, development, and current state of deployment of the next generation of Hadoop's computes platform Yarn.

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Keywords

Big Data, Yarn, Hadoop,Yarn Scheduler, MapReduce, Yarn Frameworks