Storage Cost efficient approach for Cloud storage and Intermediate Data Sets in Clouds

被引:0
|
作者
Khare, Mayank Deep [1 ]
Tripathi, Aditi [1 ]
Singh, Pradeep Kumar [2 ]
机构
[1] Madan Mohan Malaviya Univ Technol, Gorakhpur, Uttar Pradesh, India
[2] Madan Mohan Malaviya Univ Technol, CSE Dept, Gorakhpur, Uttar Pradesh, India
关键词
Cloud computing; privacy preserving; intermediate data set; Compression;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Now-a-days we are leading a life with world wide access technologies. Cloud computing is one of such technologies via which we can ensure security, disaster recovery, and better availability of data. Cloud computing basically focus on deployment of remote servers and software network together. Cloud computing allows us online access of the resource remotely. It benefits us while we use it for distributed data intensive applications with its capability of large data storage and high computation power. Generation of large volume of data sets takes place when we deal with data intensive applications. These data sets are known as intermediate data sets. Cloud computing works on pay per use principle. Users have to pay for the data storage space accordingly. In this paper, we have illustrated an approach through which we can reduce the storage overhead of the data centers in clouds. This approach can be applicable to the intermediate data sets also for the purpose of saving data storage cost and privacy preservation.
引用
收藏
页码:1475 / 1480
页数:6
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