Hadoop-Based Data Management Service for Cloud

  • Supriya Kumbhar University of Pune
  • Ms.R S Sajjan
Keywords: Big data, cloud computing, distributed data, hadoop, map reduce, hadoop distributed file system, distributed nodes, web services

Abstract

In this paper we are going to discuss HadoopBased data management Service For Cloud. Data security issues and challenges in cloud computing, and also discuss environment used for data processing file management. In this paper we discuss architecture of hadoop also prominent users. Hadoop is an open-source software framework for storing and processing big data in a distributed fashion on large clusters of commodity hardware. Essentially, it accomplishes two tasks: massive storage and faster processing. Hadoop, a community driven Apache project has provided an efficient and cost effective platform for large scale computation using the map-reduce methodology, pioneered by Google. Hadoop capabilities are also extended in a quest for intelligent decision making regarding the choice of the fittest services for federation in a federated cloud scenario, in addition to legally behavior regarding the geographical location of data storage. 

References

[1] http://hadoop.apache.org/core/. [2] "What is the Hadoop Distributed File System (HDFS)?". ibm.com. IBM. Retrieved 2014-10-30.
[3] Malak, Michael (2014-09-19). "Data Locality: HPC vs. Hadoop vs. Spark". datascienceassn.org. Data Science Association. Retrieved 2014-10-30. [4] Tarush Jain et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 4 (3) , 2013, 530-532
[5] Intel Distribution for Apache Hadoop Tarush Jain, Rohan Somni IT Department, Pune University, Pune, India. [6] Yaniv Pessach (2013). "Distributed Storage" (Distributed Storage: Concepts, Algorithms, and Implementations ed.). Amazon.com
[7] "Improving MapReduce performance through data placement in heterogeneous Hadoop Clusters" (PDF). Eng.auburn.ed. April 2010.
[8] "Mounting HDFS". Retrieved May 2014.
[9] "HADOOP-6330: Integrating IBM General Parallel File System implementation of Hadoop Filesystem interface". IBM. 2009-10-23.
[10] "HDInsight | Cloud Hadoop". Azure.microsoft.com. Retrieved 2014-07-22
Published
2018-03-23
How to Cite
Kumbhar, S., & Sajjan, M. (2018). Hadoop-Based Data Management Service for Cloud. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 1(1). Retrieved from http://asianssr.org/index.php/ajct/article/view/112
Section
Article

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.