A Study on the Viability of Hadoop Usage on the Umfort Cluster for the Processing and Storage of CReSIS Polar Data
Team Members: JerNettie Burney, Glen Koch, Jean Bevins& Cedric Hall
Mentor: Je’aime Powell
Keywords-Hadoop; NameNode; MapReduce; Hive; HBase; HDFS; Zookeeper; JobTracker
 

Abstract
The primary focus of this research was to explore the capabilities of Hadoop as a software package to process, store and manage CReSIS polar data in a clustered environment. The investigation involved Hadoop functionality and usage through reviewed publications. The team’s research was aimed at determining if Hadoop was a viable software package to implement on the Elizabeth City State University (ECSU) Umfort computing cluster. Utilizing case studies processing, storage, management, and job distribution methods were compared. A final determination of the benefits of Hadoop for the storing and processing of data on the Umfort cluster was then made.

 

 

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