期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：15
期号：4
页码：151-154
DOI：10.14445/22312803/IJCTT-V15P132
出版社：Seventh Sense Research Group
摘要：Big Data is the emerging technology of modern world. With the increasing users of online based services the growth of data is tremendous. As the size increases there comes the challenge to handle the large Volume in big data. The objective of this paper is to handle the volume of big data in an efficient way. For this we propose a heterogeneous file system based storage and retrieval method. This uses a three step process, (1) Data nodes with different types of file systems are formed, (2) The incoming file size and expected frequency of access is determined, (3) Based on the file size and expected frequency of access a suitable file system is selected. Our method shows that it is much efficient and better than using of single file system for all file sizes and frequency of use, which is shown in our results.
