• BHAVIKABEN ANILKUMAR TAILOR
• Prof. HETAL A. JOSHIARA

Big data is emerging technology. Processing and storing these huge data on the distributed hardware clusters needs a powerful computation model like Hadoop. Running Hadoop jobs in cloud environment are beneficial because it provides flexible, scalable, elastic, multitenant and on demand infrastructure. Despite of its potential benefits running Hadoop jobs inside cloud environment is challenging task due to diversification of model, technologies. Performance of Hadoop cluster in cloud environment can be optimized by tuning its default configuration parameters values. In this paper, we study and analysis various Hadoop configuration parameters. Performance of Hadoop cluster can be improved by tuning the value of configuration parameters according to the characteristics of job and virtual machine state and type of application.

Hadoop, Map reduce, Apache Hadoop YARN, Configuration Parameters

"STUDY OF VARIOUS CONFIGURATION PARAMETERS OF APACHE HADOOP ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.562-565, November-2018, Available :http://www.jetir.org/papers/JETIR1811A68.pdf

"STUDY OF VARIOUS CONFIGURATION PARAMETERS OF APACHE HADOOP ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp562-565, November-2018, Available at : http://www.jetir.org/papers/JETIR1811A68.pdf