A scalable cloud computing deployment framework for efficient MapReduce operations using Apache YARN

Author

Deni Raj, Ebin ; Nivash, J.P. ; Nirmala, M. ; Dhinesh Babu, L.D.

Author_Institution

Sch. of Inf. Technol. & Eng., VIT Univ., Vellore, India

fYear

2014

fDate

27-28 Feb. 2014

Firstpage

1

Lastpage

6

Abstract

Cloud computing has become the buzz word since many years. The importance of data storage and processing in cloud has increased since the past two years. The digital data growth has contributed significantly for cloud storage. Hadoop is being used for data intensive computations and the latest Hadoop version YARN is more efficient than its predecessors. In this paper we are proposing a framework which will help in deploying cloud over YARN architecture. The paper also deals with the bulk creation of virtual machines in cloud.

Keywords

cloud computing; parallel programming; virtual machines; Apache YARN architecture; MapReduce operation; cloud storage; data processing; data storage; digital data growth; scalable cloud computing deployment framework; virtual machines; Cloud computing; Computer architecture; Containers; Educational institutions; File systems; Virtual machining; Yarn; Hadoop; YARN; container; mapreduce; virtual machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Communication and Embedded Systems (ICICES), 2014 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-3835-3

Type

conf

DOI

10.1109/ICICES.2014.7033945

Filename

7033945