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Storage cost efficient approach for cloud storage and intermediate data sets in clouds

机译:云中的云存储和中间数据集的存储成本有效方法

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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.
机译:如今,我们以世界范围的接入技术引领生活。云计算就是其中一种技术,通过它我们可以确保安全性,灾难恢复和更好的数据可用性。云计算基本上集中于远程服务器和软件网络的部署。云计算使我们能够远程在线访问资源。当我们将其用于分布式数据密集型应用程序时,它具有大量数据存储和高计算能力的优势。当我们处理数据密集型应用程序时,会生成大量数据集。这些数据集称为中间数据集。云计算遵循按使用付费原则。用户必须相应地为数据存储空间付费。在本文中,我们说明了一种方法,通过该方法可以减少云中数据中心的存储开销。为了节省数据存储成本和隐私保护,该方法也可以适用于中间数据集。

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