A Review on “How YARN Overcomes MapReduce Limitations in Hadoop 2.0?”

Authors

  • SRI HARI NALLAMALA Research Scholar, Dept. of CSE, K L University, Green Fields, Vaddeswaram, Guntur, A.P. & Assistant Professor, Dept. of CSE, DVR & Dr.HS MIC College of Technology, Kanchikacherla, Krishna Dt., A.P
  • DR. P. SIVA KUMAR Associate. Professor, Dept. of CSE, K L University, Green Fields, Vaddeswaram, Guntur, A.P
  • DR. K. SUVARNA VANI Professor, Dept. of CSE, V.R. Siddhartha Engineering College, Vijayawada, Krishna Dist., A.P

Keywords:

Bigdata, Apache Hadoop, HDFS, MapReduce, YARN, MR1, MR2

Abstract

Though this paper we will discuss about two new labels YARN and MR2 launched in Hadoop 2.0. We will
observe, What is YARN? Why there was a need of YARN (Yet Another Resource Negotiator), which a new framework
introduced in Hadoop 2.0? What are the benefits associated with YARN framework over earlier MapReduce
framework of Hadoop 1.0? Precisely What is the difference between MR1 in Hadoop 1.0 and MR2 in Hadoop2.0?
Finally, we concluded both MapReduces.

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Published

2016-03-25

How to Cite

SRI HARI NALLAMALA, DR. P. SIVA KUMAR, & DR. K. SUVARNA VANI. (2016). A Review on “How YARN Overcomes MapReduce Limitations in Hadoop 2.0?”. International Journal of Advance Research in Engineering, Science & Technology, 3(4), 131–139. Retrieved from https://ijarest.org/index.php/ijarest/article/view/522

Issue

Vol. 3 No. 4 (2016): Volume: 03, Issue: 04 - April, 2016.

Section

Articles