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Title |
Access efficiency of small sized files in Big Data using various Techniques on Hadoop Distributed File System platform |
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Author |
Neeta Alange and Anjali Mathur |
| Citation |
Vol. 21 No. 7 pp. 359-364 |
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Abstract |
In recent years Hadoop usage has been increasing day by day. The need of development of the technology and its specified outcomes are eagerly waiting across globe to adopt speedy access of data. Need of computers and its dependency is increasing day by day. Big data is exponentially growing as the entire world is working in online mode. Large amount of data has been produced which is very difficult to handle and process within a short time. In present situation industries are widely using the Hadoop framework to store, process and produce at the specified time with huge amount of data that has been put on the server. Processing of this huge amount of data having small files & its storage optimization is a big problem. HDFS, Sequence files, HAR, NHAR various techniques have been already proposed. In this paper we have discussed about various existing techniques which are developed for accessing and storing small files efficiently. Out of the various techniques we have specifically tried to implement the HDFS- HAR, NHAR techniques. |
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Keywords |
HDFS, Flat Table Technique, Table Chain Technique, Small File Merging. |
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